📊 It's Thursday! Or Friday. Who knows anymore, and what is time? In any case, it's quizday! 🧩

— Clément Canonne (@ccanonne_) November 11, 2021

Today, some communication complexity. You might know the drill: Alice has input x, Bob has input y, they both know some function f and want to compute f(x,y). But talking is hard.

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📊 Answers and discussion for this week's quiz on communication complexity: Alice has x, Bob has y and wants to compute f(x,y) correctly with proba ≥ ¾.

— Clément Canonne (@ccanonne_) November 14, 2021

They both know f ahead of time, but Alice can only send a few bits to Bob (pigeons ain't cheap!).

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📊 It's Thursday (for me), I have a coffee, time for a weekly quiz!

— Clément Canonne (@ccanonne_) October 27, 2021

Today: Boolean circuits, functions, and functions which require large circuits.

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📊 Answers and (short) discussion for this week's quiz on circuits, and how large they must be to implement some Boolean functions. https://t.co/xtHYGRwLpB

— Clément Canonne (@ccanonne_) October 30, 2021

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📊 Since couplings have been on my mind lately, here is a very short, two-parter weₐᵉkly quiz.

— Clément Canonne (@ccanonne_) October 14, 2021

Let's start with a fun suspect. We have n, and n goes to infinity. We have pₙ, pₙ goes to 0. And we have λ, npₙ goes to λ.

Now, let's look at Xₙ~Binomial(n, pₙ)...

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📊 (A bit overdue) answers and discussions for this week's quiz on Poisson v. Binomial, and stochastic dominance.

— Clément Canonne (@ccanonne_) October 17, 2021

In which we look at Xₙ~Binomial(n, pₙ) where npₙ → λ as n→∞, Y~Poisson(λ), and try to compare them.

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📊 It's Friday here, still Thursday for many: time for our weekly quiz! Today: triangles ◁ △ ▷▽. In graphs! "Are there any?"

— Clément Canonne (@ccanonne_) October 7, 2021

So, what's a △ in an (undirected) graph? A graph G=(V,E) on |V|=n vertices has a △ b/w vertices i,j,k if (i,j),(j,k),(i,k)∈E (all 3 are edges).

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📊 (Brief) answer thread for this week's quiz on triangle ◁ △ ▷▽ detection in undirected graphs: or "we can do this incredibly fast! But it's incredibly slow."

— Clément Canonne (@ccanonne_) October 9, 2021

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📊 It's Thurfriday, time for our weekly quiz! Today, some probability puzzles: collisions!

— Clément Canonne (@ccanonne_) September 23, 2021

There is an unknown probability distribution over {1,2,....,n}. You get to do the usual stuff: ask for independent samples. If you see the same value several times: collision, you win!

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📊 Answers and discussion for this week's quiz on collisions: or, "how to best win cookies🍪 by playing weird random games."

— Clément Canonne (@ccanonne_) September 25, 2021

Recall: unknown probability distribution over {1,...,n}. A "t-way collision" among samples is if you see some value t times.

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📊 It's Thursday! Time for our (weakly) weekly quiz on theoretical computer science (TCS), random nuggets of random things, and—this week, and this week only!—pacts with the devil.

— Clément Canonne (@ccanonne_) September 9, 2021

Because sometimes, you *really* want to solve those decision problems, don't you?

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📊 Answers and discussion for this week's quiz on interactive proofs. Interactive proofs: when things are hard, talk to a fiend! 😈 https://t.co/gVCDMvZ4UK

— Clément Canonne (@ccanonne_) September 12, 2021

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📊 It's Thursday, time for a short weekly quiz! About a very basic problem: adding numbers.

— Clément Canonne (@ccanonne_) August 26, 2021

Yes, counting. How hard can that be?

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📊 Answers and discussion for this week's quiz on addition and circuit complexity. Addition: do something that counts!

— Clément Canonne (@ccanonne_) August 28, 2021

So the inputs are two n-bit integers x,y, your goal is to output x+y. No trick, no catch, just build a Boolean circuit for that... https://t.co/OsdhdwYWzP

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📊 It's Thursday (it is!), time for a wₑeᵃkly quiz! A short one: let's not be greedy.

— Clément Canonne (@ccanonne_) August 19, 2021

Yeah, let's not be greedy. Let's leave that to the algorithms! 🤖

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📊 Answers and discussions for this week's we(a)ekly quiz on greedy algorithms.

— Clément Canonne (@ccanonne_) August 22, 2021

Remember: greedy's only a sin if you *forget* to try it!

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📊 It's Thursday for some, time for a weekly quiz! This Frirsday, 3 questions on a topic I touched upon a few times already: ways to measure distances between probability distributions.

— Clément Canonne (@ccanonne_) July 29, 2021

(Good ways, and bad ways.)

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📊 Answers and discussions for this week's quiz on "distances between probability distributions." Or "how do I measure those things in a sensible way?"

— Clément Canonne (@ccanonne_) August 1, 2021

First caveat: there are *many* other distances I will not discuss. For references or questions, please comment at the end!

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📊 It's Frursday*, time for a weekly quiz! Let's play a game, involving balls, and bins, and you throwing them.

— Clément Canonne (@ccanonne_) July 15, 2021

So you have m balls, and n little cute baskets of equal size, all woven by hand in the most delicate and artisanal fashion, henceforth called "bins."

*Time zones.

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📊 Answers and discussion for this week's quiz on balls ⚾, baskets 🧺, and who's going to pay for those now that you've thrown stuff in them and they're all damaged, uh?

— Clément Canonne (@ccanonne_) July 18, 2021

I have to admit, you've been quite good on this quiz. Maybe I should up my game.

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📊 It's Friday/Thursday, depending on where you are: time for a (weakly) weekly quiz! This week: a (tiny glimpse) at lattice-based cryptography.

— Clément Canonne (@ccanonne_) July 8, 2021

I'm not a specialist, so if I make any mistakes... we'll just call that "learning with errors"?

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📊 Answers and discussion for last week's quiz on lattice-based crypto. I won't go into much detail; to know more, check out the links at the end of the thread.

— Clément Canonne (@ccanonne_) July 12, 2021

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📊 It's Thursday! Hope you're all staying safe. As promised, today's weekly quiz is #STOC21 (and, generally, broad-TCS) related.

— Clément Canonne (@ccanonne_) June 24, 2021

[I used those questions in the STOC (first) trivia on Tuesday, so if you were there... like every non-trivial graph, you have an edge.]

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📊 Answers and discussion for this week's quiz on (some aspects of) the history of Theoretical Computer Science, that is, TCS Factoids.

— Clément Canonne (@ccanonne_) June 26, 2021

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📊 It's Friday here, and Thursday there, and possibly in-between somewhere: time for a weekly quiz! Today, let's count stuff. Boolean functions.

— Clément Canonne (@ccanonne_) June 10, 2021

Fixing n (it's big!), we consider functions of the form f: {0,1}ⁿ→{0,1}, i.e., things that take n bits and output one.

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📊 Belated answers and discussion for last week's quiz on "how many of those Boolean functions are there?"

— Clément Canonne (@ccanonne_) June 15, 2021

Before we start, let's give a motivation why counting those things might be important... there are others, of course ("how many bits to index" and "it's fun" being two).

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📊 It's Thursday for many, time for a weekly quiz! I promised a thread on anticoncentration last week, so let's first wonder what that can be. A type of small rodent, maybe?

— Clément Canonne (@ccanonne_) May 20, 2021

[Spoiler: not a type of small rodents.]

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📊 Answers and discussion for this week's quiz on streaming and moment estimation.

— Clément Canonne (@ccanonne_) May 24, 2021

I am currently overwhelmed by deadlines, so I prepared a pdf for the answer (see at the end of the thread), and in this thread will just talk. a. lot. 🗣️

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📊 It's Thursday [in many places], time for a weₐᵉkly quiz! As promised, this one's on #streaming . You know, Netflix, HBO?

— Clément Canonne (@ccanonne_) May 13, 2021

Good. Not that.

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📊 Answers and discussion for this week's quiz on streaming and moment estimation.

— Clément Canonne (@ccanonne_) May 15, 2021

Reminder: a sequence of m=n elements a₁,..,aₘ from a universe [n]={1,..,n} arrive sequentially in an arbitrary order. You don't have enough memory to store all of it.

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📊 It's Thursday-somewhere-Friday-here, time for a wᵉₐkly quiz. Today, 4 questions on communication!

— Clément Canonne (@ccanonne_) April 29, 2021

Say hi to 👩💻 Alice and Bob 👨💻. They have something to figure out, but they'd rather not talk much about it.

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📊 Answers and discussion for this week's quiz on communication complexity with various types of shared randomness.

— Clément Canonne (@ccanonne_) May 1, 2021

Remember: we have 👩💻 Alice, and 👨💻 Bob. They don't talk to each other anymore. But they'd still like to work out something together.

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📊 It's Thursday, time for a weekly quiz! We're on Twitter. Twitter is a social network. Social networks are basically graphs (with gifs).

— Clément Canonne (@ccanonne_) April 22, 2021

Let's look at graphs (without gifs). But with gifs.

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📊 Answers and discussion for this week's quiz on graphs, cliques, and hardness of Max-Clique. "The answers may surprise you!"

— Clément Canonne (@ccanonne_) April 24, 2021

(Yes, that was a clique-bait.)

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📊 So, here is the answer, some discussion, and more questions about that

— Clément Canonne (@ccanonne_) April 9, 2021

"If Z=X+Y is Binomial, what about X,Y?"

question. (So, I lied: here's a pop quiz!)

Warning: answers in two or three days.

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📊 Short thread: answers and proofs for the 3 extra questions on independent X,Y such that X+Y is Binomial.

— Clément Canonne (@ccanonne_) April 11, 2021

We previously saw that if we assumed X,Y and integer-valued, then X and Y had to be Binomial themselves.

But what if we don't assume that? https://t.co/r5sQbhiFKT

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📊 It's Thursday (and has been for a while, here in the Future 🌏), time for a weekly quiz! Since it's April 1st, and I'm French, this will be about Fish. 🐠 https://t.co/dihjvbYiN3

— Clément Canonne (@ccanonne_) April 1, 2021

Sorry: about Poissons, which are *random* fish.

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📊 After a long delay due to a long weekend: answers and discussion for last week's quiz on Poisson things.

— Clément Canonne (@ccanonne_) April 6, 2021

First, to explain the 🐠: "Poisson" was the name of Siméon-Denis Poisson, French mathematician and physicist . It also means "Fish." Tough.

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📊 It's Thursday (it is!), time for a weekly quiz. This week's will be short (4 questions), and about a "basic" question: how to distinguish between two biased coins. 🪙

— Clément Canonne (@ccanonne_) March 25, 2021

Formally, I give you a coin and a value p, and promise you it lands "heads" with proba either p or p+ε..

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📊 Answers and discussions for this week's thread on distinguishing biased coins 🪙. Coin: it's like a die 🎲, but with two sides.

— Clément Canonne (@ccanonne_) March 27, 2021

So the goal is, given a 🪙, to distinguish b/w it landing Heads w/ probability p or >p+ε, with as few flips as possible. https://t.co/xMOmGACHVD

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📊 It's Thursday, time for a weekly quiz! Today, you're dropped in a labyrinth, and can't remember much: will you be able to get out?

— Clément Canonne (@ccanonne_) March 18, 2021

[In complexity terms: it's about L, NL, and SL. The labyrinth stuff is much catchier.]

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📊 Answers and discussions for this week's quiz: "how to get out of a maze when you have a really bad memory."

— Clément Canonne (@ccanonne_) March 20, 2021

G=(V,E) is a graph (directed or undirected) on n nodes. You're dropped at a source node s, want to know if there is a path to the exit t.

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📊 It's still Thursday! Time for a weekly quiz. On polling, deniability, and coffee.

— Clément Canonne (@ccanonne_) March 12, 2021

The year is 2027. Coffee production has dwindled, due to the effect of climate change on crops. Yet coffee consumption has skyrocketed, after it was noticed that caffeine can power computers.

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Answers and discussion for this week's quiz on coffee consumption, polling, privacy, and why we can't seem to find enough caffeine to power our java-hungry ML models 🤖 these days.

— Clément Canonne (@ccanonne_) March 14, 2021

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📊 It's Thursday here (I swear), time for a quiz! Let's talk about decisions, how hard they are to make, and the power of asking a friend.

— Clément Canonne (@ccanonne_) March 4, 2021

That is, it'll be about oracle machines and complexity classes.

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📊 Answers and discussion for this week's quiz on complexity classes and "oracle machines"!

— Clément Canonne (@ccanonne_) March 6, 2021

Before starting: if you're interested in computational complexity and are not already, follow @BooleanAnalysis , @rrwilliams , and @IgorCarboniOliv .

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📊 It's Friday morning here (and Thursday in many other places, I'm told): time for a weekly quiz!

— Clément Canonne (@ccanonne_) February 18, 2021

Today: "the definition of differential #privacy , why"? (Also, "what's an f-divergence"?)

I'm not going to go through the reasons to introduce differential privacy...

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Answers and discussion for this week's quiz on differential #privacy . So, you have a dataset D of n records (private info!), and want to run an algo A on it.. and publish the result *while preserving privacy.*

— Clément Canonne (@ccanonne_) February 21, 2021

The question is, what could that mean?

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📊 It's Thursday-somewhere-and-Friday here, time for a weekly quiz! Let's look into a 'fun' algorithmic problem with numbers and arrays . A type of zero-sum game ➕, if you will. (It's not, really.)

— Clément Canonne (@ccanonne_) February 11, 2021

So you're given as input an array A of n numbers (weird gift, but why not).

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📊 Answers and discussion for this week's quiz on 3SUM: given an array A of n numbers, is there some i,j,k such that A[i]+A[j]+A[k]=0?

— Clément Canonne (@ccanonne_) February 14, 2021

To keep things simple, we're going to assume the numbers are integers & that we can add, subtract, etc. in time O(1).

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📊 It's Thursday (i.e., Friday 🇦🇺), it's been a while, and it's an installment of our (weakly) weekly quiz.

— Clément Canonne (@ccanonne_) February 4, 2021

It's the ICML deadline for many, though, so let's temper our expectations and only have *checks* 4 questions. Also, X is a discrete random variable on a domain D⊆ℝ.

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Answers and discussion for this week's quiz on "do expectations and variances even exist? Does anything even exist? Wooow. 🤯"

— Clément Canonne (@ccanonne_) February 7, 2021

So, X is a random variable on a domain D⊆ℝ (I wrote "discrete," that was an unfortunate typo—it'll depend)

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📊 Guess what: it's Thursday! Time for a (weakly) weekly quiz. This one may remind some of you of your randomized algorithms class🎲

— Clément Canonne (@ccanonne_) January 14, 2021

"What to expect when we just do random stuff?"

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📊 Answers and discussions for this week's quiz on "doing random stuff and expecting things"

— Clément Canonne (@ccanonne_) January 17, 2021

The upshot: random choices 🎲 can lead to surprising insights, even if you don't care for randomized algorithms! (Now, combinatorists may argue that...

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📊 It's Thursday, and a lot has been happening in (some parts of) the world... a lot to (un)pack or cover, so let's do none of that: here is a weekly (albeit weakly) quiz instead.

— Clément Canonne (@ccanonne_) January 7, 2021

Covering, packing, and ε-nets. Let's have a ball!

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📊 Answers and discussion for this week's quiz: on covering, packing, and the importance of norms.

— Clément Canonne (@ccanonne_) January 9, 2021

Below, unless specified otherwise (X, ‖.‖) is a normed space (metric space suffices up to Q4), Θ⊆X, and ε>0. Think of X=ℝⁿ for n≫1 for "intuition."

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📊 It's Thursday, time for a weₐᵉkly quiz! A two-parter, ft. Quantum Santa: merry Christmas, wherever you are!

— Clément Canonne (@ccanonne_) December 24, 2020

Obviously, there are many children on Earth, namely n>>1. Some have been naughty, some have been nice: Christmas Alice 🤶 and Christmas Bob 🎅 are keeping track.

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📊 Answers and discussions for this week's quiz on the communication complexity of |naughty∩nice|! 🤶

— Clément Canonne (@ccanonne_) December 26, 2020

I hope you had, whether you celebrate Christmas or not, a relaxing break with family or friends, and wish you more of those times to come.

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📊 It is, if I am not mistaken, Thursday (in several parts of the world at least): time for a (weakly) weekly quiz!

— Clément Canonne (@ccanonne_) December 17, 2020

It's been a hard year, month, and week. Let's figure out what *else* is (computationally) really hard.

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📊 Answers and discussion for yesterday's quiz on NP-Hardness of various things (or lack thereof).

— Clément Canonne (@ccanonne_) December 18, 2020

Since I forgot to mention it yesterday, all graphs considered were undirected. Hopefully that didn't mislead anyone...

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📊 It's Thursday, time for our weekly (but weakly so) quiz! This week: integers, and remarkable sequences.

— Clément Canonne (@ccanonne_) December 3, 2020

See this as an extended ad for the OEIS, if you will. Also, if you don't know the OEIS: go check it out (and come back)! https://t.co/CFzSxQu4Wy

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📊 Answers and discussion for yesterday's quiz on sequences (and their names).

— Clément Canonne (@ccanonne_) December 4, 2020

Before we go to the first question, again: if you haven't, bookmark https://t.co/DVdLWdI3UT . It's useful: the solution to some of your problems may be recorded there!

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📊 It's Thursday, it's Thanksgiving, and it's time for a (weakly) weekly quiz!

— Clément Canonne (@ccanonne_) November 26, 2020

Let's play a game. I'll write sentences: some of them refer to actual results (from math or computer science). Some of them are lyrics, random quotes (or nothing). Can you find which is which?

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📊 Answers and discussion for yesterday's Thanksquizzing 🦃: "theorem or random string of words?"

— Clément Canonne (@ccanonne_) November 27, 2020

tl;dr: theorem, not theorem, theorem, theorem, not a theorem, theorem.

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📊 Thursday morning:* time for a weekly quiz! Let's talk about... POT!

— Clément Canonne (@ccanonne_) November 12, 2020

Testing of functions, graphs, etc. (in all generality) says you have an input thing f: X → Y, want to test whether f has some property 𝒫 (i.e., f∊𝒫) or is "far" from it (d(f,g)>ε for all g∊𝒫). How?

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📊 Answers and discussions for Thursday's quiz! Let's look at the answers for those distinctions between (property) testing algorithms.

— Clément Canonne (@ccanonne_) November 14, 2020

Quick recap: given a 'property' 𝒫 (subset of functions) and some access to some function f, accept if f∊𝒫.

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📊 It's Thursday, and with it another weekly quiz! Since there is a lot going on these days, I'll keep it very short.

— Clément Canonne (@ccanonne_) November 5, 2020

Today: Fibonacci numbers, and adding a little random kick to them. (Also, here's a cute animal if you need a break from the news.)

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📊 Answers and discussion for yesterday's short quiz on the Fibonacci sequence and a random variant 🎲.

— Clément Canonne (@ccanonne_) November 6, 2020

Let's first recall what the Fibonacci numbers are: we won't go through the whole "rabbits are breeding" thing, but it goes as F(n)=F(n-1)+F(n-2)...

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📊 Thursday! Time for an instance of our weekly (but weakly so) quiz.

— Clément Canonne (@ccanonne_) October 29, 2020

Let's talk about prime numbers! You know, those things really useful in number theory, Amazon orders, and cryptography.

So you want to find a prime, and it needs to be n-bit long, and it can't be 57.

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📊Answers and discussion for yesterday's quiz on prime numbers! The gist of the quiz was:

— Clément Canonne (@ccanonne_) October 30, 2020

"Given n, can we efficiently find an n-bit prime number? Can we do that deterministically? In a randomized way? What about 'pseudo-deterministically'?"

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📊 Sorry for the delay—here is today's (weakly) weekly quiz. It'll be ≈ brief: our goal is to have a superficial look at some of the (mathematical) inequalities we face on a daily basis.

— Clément Canonne (@ccanonne_) October 22, 2020

Some will be true, some false, and some will look like they could go both way.

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📊 Answers and discussion for this week's quiz on inequalities between norms.

— Clément Canonne (@ccanonne_) October 24, 2020

First, let's recap notation. As noted by some, one could unify the notation by seeing both as Lp norms under a suitable (e.g., counting) gen'l measure, (∫|x|ᵖω(dx))^{1/p}.

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📊 It's that day of the week: time for a we(a|e)kly quiz! Today's quiz will be loosely based on a problem from a learning theory course I took back in the days, when dinosaurs roamed in Manhattan; and involves balloons🎈.

— Clément Canonne (@ccanonne_) October 8, 2020

Specifically: when do they pop?

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📊 Answers and discussion for yesterday's "pop quiz" on balloons🎈, and #learning .

— Clément Canonne (@ccanonne_) October 9, 2020

Recall the setup: you have a very small number of state-of-the-art 🎈. They pop at some unknown height N* (in "footmeters") , an integer b/w 1 and N. Your goal is to learn (exactly) this N*.

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📊 It's that time of the week: Thursday, unless I've been fooled again. Time for a quiz! Today, we'll deal with something quite "basic:" sorted numbers, and how to check that.

— Clément Canonne (@ccanonne_) October 1, 2020

As people said to Louis XVI: "let's keep it short."

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📊 Answers and discussions for yesterday's quiz on sorting. Clearly what's been on everyone's minds since yesterday evening!

— Clément Canonne (@ccanonne_) October 2, 2020

To recap: you have an array of n numbers (integers), and want to end up with a sorted array, and, frankly, don't we all.

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📊 It's Thursday, allegedly: time for our wækly quiz. So, completely unrelated to anything, this one's going to be about influence, majority, tribes, noise, and dictators.

— Clément Canonne (@ccanonne_) September 24, 2020

(I didn't get "chaos" in, but I'm keeping that option open for the future. #gaussianchaos )

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📊 Answers and discussion for yesterday's quiz on voting rules (a.k.a. Boolean functions for social choice).↴

— Clément Canonne (@ccanonne_) September 26, 2020

Disclaimer: for a much better and comprehensive treatment, @BooleanAnalysis 's book is the place to look ( https://t.co/f9OGjFKAVu ).

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📊 It's (weakly) Thursday: time for a weekly quiz. For this one let's be merry, and play games—repeatedly!

— Clément Canonne (@ccanonne_) September 10, 2020

But, what's a game? You have 2 players, Alice 👩🏻💻 and Bob 👨🏾💻, and a game master, say Guillaume🧔🏼. Guillaume draws (x,y), gives (separately!) x to Alice and y to Bob...

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📊 Answers and discussion for yesterday's quiz on games. Technically, "repeated games and direct product (parallel repetition) theorems."

— Clément Canonne (@ccanonne_) September 11, 2020

Or, as one may put it: if I keep playing, how likely is it that I'll keep winning?🤷

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📊 It may not be Thursday everywhere yet, but let's have our weakly(weekly(quiz))!

— Clément Canonne (@ccanonne_) September 3, 2020

Today: no general theme. Just things that may be true, or false, and surprisingly so―or not. Beware of the traps.

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📊Answers and discussion for yesterday's quiz on "Things I Probably Would Have Gotten Wrong (Did You?)"

— Clément Canonne (@ccanonne_) September 4, 2020

Ft. Complexity theory (Q1), Probability (Q2), Measure theory (Q4), Planar graphs and pandas 🐼 (Q5), and Linear algebra (Q3)... in that order.

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📊 It's Thursday for many, time for this week's quiz! As alluded earlier, we're going to flip coins. Like, a lot.

— Clément Canonne (@ccanonne_) August 27, 2020

Today: you have a biased coin which lands heads with some probability p∊(0,1), and you can toss it as many times as you want. You don't know p, though...

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📊 Answers and discussion for yesterday's quiz on coin flipping (a.k.a. the power of small change?)

— Clément Canonne (@ccanonne_) August 28, 2020

Reminder: given a fixed function f, we want a procedure which given independent coin flips from a coin unknown probability of heads p ("bias")...

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📊 It's Thursday, time for a we•kly quiz! As promised last week, today will be about Gaussians, CLTs, Berry—Esseen, and a little bit of Invariance Principle.

— Clément Canonne (@ccanonne_) August 20, 2020

Let's start. You have n i.i.d. real-valued r.v.s X₁,...,Xₙ, with mean zero. You sum them, and hope for the best.

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📊 Answers and discussion for yesterday's quiz on CLTs, Gaussians, and a bit of Invariance Principle.

— Clément Canonne (@ccanonne_) August 21, 2020

Let's start: Q1 on the Central Limit Theorem was a trap 🧐!

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📊 It's Thursday [reference needed], time for a weᵄekly quiz! Given some recent events about randomized polynomial time (RP), it feels like a short discussion about 🎲 is topical.

— Clément Canonne (@ccanonne_) August 6, 2020

So, let's go: Las Vegas, Monte Carlo, and... Bellagio (?) algorithms!

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📊Thread: answers and discussions for yesterday's quiz on randomized complexity classes (RP, ZPP, BPP).

— Clément Canonne (@ccanonne_) August 7, 2020

Of course, I am barely scratching the surface. I find randomness in computation fascinating, and hope you will too. https://t.co/DQNWorXxa0

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📊 Today, (weakly|weekly) quiz will be about graphs. The ones with nodes and edges, not those plotting against you.

— Clément Canonne (@ccanonne_) July 30, 2020

Specifically, *planar* graphs. The nice ones.

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📊 Answers and discussion for yesterday's quiz on planar graphs. Recall: a graph G=(V,E) on n=|V| vertices and m=|E| edges is planar if you can "embed it in the plane" (draw it without edge crossings). 🕸️

— Clément Canonne (@ccanonne_) July 31, 2020

Why should we care, you ask?

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📊 It's Thursday: time for our wÆkly quiz! I'll build a little bit on last week's statistics/algorithms thread (see below for a recap), and ask you two 2️⃣ questions.

— Clément Canonne (@ccanonne_) July 23, 2020

General topic: testing distributions, "leaky" measurements, and adaptivity. 🔍

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📊 Answers and discussions for yesterday's we(a)ekly quiz on "testing whether data is uniformly distribution, given some leaky query access to the samples." #statistics #quiz

— Clément Canonne (@ccanonne_) July 24, 2020

To paraphrase Tolstoy when starting "War and Peace": I'll be brief. https://t.co/NMK2GJ2DqF

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📊 Two days ago, I asked a question. Way more people answered than expected, and... well, this week's weₐekly #quiz will be slightly ≠: a long thread on uniformity testing, trickling down all day long.

— Clément Canonne (@ccanonne_) July 16, 2020

Be careful what you wish for :) #statistics

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📊 A short discussion about last week's thread on uniformity testing: I wrote things down!

— Clément Canonne (@ccanonne_) July 20, 2020

📝 https://t.co/jLEIKSxMIi (LaTeX)

📄 https://t.co/Uqq0yjWrwp (PDF)

Comments welcome.

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📊 It's Thursday (somewhere), time for a weₐekly quiz! Today: #machinelearning ! Ish. Let's say... computational learning. Some of it. In theory.

— Clément Canonne (@ccanonne_) July 9, 2020

OK. VC dimension. You got me. Anyways, #COLT2020 is starting tomorrow, so... what does it mean to "learn," exactly?

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📊 Answers and comments about yesterday's online quiz on learning.

— Clément Canonne (@ccanonne_) July 10, 2020

Not a quiz on online learning. Though there was an (online learning) component on that online (learning quiz), which maybe led to some learning online, so... I am confused now. https://t.co/2VO9AqXudR

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📊 Wæekly quiz: "The answer may surprise you (or not)."

— Clément Canonne (@ccanonne_) July 2, 2020

Four results I find surprising (among many). Three of the statements below are true, one is false. Choose... wisely.

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⁉️ Answers and discussion for yesterday's quiz: and yes, you are a Ravenclaw. (BuzzFeed has nothing on me.) https://t.co/csDmh8T4bk

— Clément Canonne (@ccanonne_) July 4, 2020

First I'd like to apologize for the original erroneous phrasing of Q1. If your answer was wrong, it was my fault.

[As usual, refs at the end]

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📊 Weᵃₑkly quiz: linear threshold functions (a.k.a. perceptrons, a.k.a. halfspaces), and what makes them so unique.

— Clément Canonne (@ccanonne_) June 25, 2020

In other words, "the Chow Parameters."

Let's start with Boolean functions: i.e., functions of the form f: {-1,1}ⁿ→{-1,1}. There are 2^2^n of those.

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🧑🏫 Answers and discussions for yesterday's quiz on Boolean functions, halfspaces (LTFs), and Chow parameters.

— Clément Canonne (@ccanonne_) June 26, 2020

Our focus here will be functions of the form f: {-1,1}ⁿ→{-1,1} (i.e., bits=±1)

[References for all results at the end of the thread.]

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📊 Weakly weekly quiz: a short one—next week 's will be longer. "How do you prove you won't always fall short of your expectations?"

— Clément Canonne (@ccanonne_) June 18, 2020

(No, it not not about eating Cheerios on the sofa, or the last time I wore actual socks. It's about constant-probability statements.)

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📊 Answers and discussions for yesterday's quiz: "minimal assumptions for X to be, with constant probability, no less than a constant fraction of 𝔼[X]?"

— Clément Canonne (@ccanonne_) June 19, 2020

E.g., if an algo find something w/ large value in expectation, can it do it w/ probability 1/10?

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📊 Weakly-weekly quiz: this week, "how hard is it to learn when you keep forgetting things?"

— Clément Canonne (@ccanonne_) June 11, 2020

(This quiz is about learning functions. The question applies to history as well...)

You observe a stream of labelled samples (xᵢ,yᵢ) where yᵢ=f(xᵢ), and want to learn f...

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📊 Answers and discussion for yesterday's quiz on sample/memory tradeoffs for learning: a thread. ↴

— Clément Canonne (@ccanonne_) June 12, 2020

Overall question: "how hard does it become to learn a (linear) function when the algorithm can't keep too much information in memory?"

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📊 For this edition of the weekly quiz, let's look at random sums of random things, and their tails.

— Clément Canonne (@ccanonne_) June 4, 2020

Specifically, we have some i.i.d. r.v.'s X₁,X₂,..., and some integer-valued (possibly infinite) r.v. T. We look at S = X₁+X₂+...+X_T.

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📊 Answers and discussion about yesterday w(ee|ea)kly quiz on random sums: S = X₁+X₂+...+X_T, w/ Xₙ's independent and T itself an integer-valued random variable.

— Clément Canonne (@ccanonne_) June 5, 2020

Under mild assumptions on all those, what can we say about the tails of the sum S? https://t.co/uNnZUyfuTc

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📊 Today's weₐekly quiz: a 3-series ∑ edition! Nothing too fancy, maybe a cute probability proof in disguise somewhere.

— Clément Canonne (@ccanonne_) May 28, 2020

Let's start: we all know—maybe love—the exponential function. For all k in ℝ, ∑ₙkⁿ/n! = eᵏ. Fair enough... butnwhat if we perturb things a bit?

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🧑🏫 Answers and discussions for yesterday's quiz on "series that kind of look like the exponential one."

— Clément Canonne (@ccanonne_) May 29, 2020

If you couldn't see properly the questions (non-utf8er's gonna non-utf8), I had screenshots here: https://t.co/65TqGvrZh1

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📊 Here we go again: we{e,a}kly quiz. Let's have a look at two of our basic* friends, the Poisson 🐟 and Binomial 🐪 distributions. And what happens when they meet.

— Clément Canonne (@ccanonne_) May 21, 2020

Just so we're all on the same page: X~Binom(n,p) if X=∑ₖ Xₖ (n terms)...

*"I'm not basic. THEY're basic."

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Answers and discussions for yesterday's quiz on Poisson 🐟, Binomial 🐪, and I guess 🐘 distributions.

— Clément Canonne (@ccanonne_) May 22, 2020

Here's the plan: answers, discussion of what a "Poisson Binomial distribution" 🐡 is and what it's for, related references.

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📊 It's time for a (short) installment of our weakly quiz. Setup: you are a *deterministic* algorithm 🤖 (sorry). You're given i.i.d. draws from some discrete distribution p over [n]={1,2..,n}, *close-ish* to uniform. You want to output i.i.d. draws *closer* to uniform.

— Clément Canonne (@ccanonne_) May 14, 2020

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📊 Answers for yesterday's quiz: "if you're given i.i.d. samples from something close* from uniform on n elements, can you deterministically combine them to get something more uniform**? ↴

— Clément Canonne (@ccanonne_) May 15, 2020

* within TV distance ε

** within TV distance ε'

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📊 Here is a *semi non-technical* weekly quiz: a two-parter, first with an opinion poll, then a one-question quizz.

— Clément Canonne (@ccanonne_) April 30, 2020

Q1: What would you like these quizzes (and/or this account) to focus on more in the future? 🙋

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Answers and discussions for yesterday's poll+quiz: thread below. ↴

— Clément Canonne (@ccanonne_) May 1, 2020

First, the poll: random stuff, and probability distribution-related things win the day. I won't promise puns will disappear, though. As a TCS person, I have promise problems.

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📊It's Thursday, time for a we[ae]kly quiz! Let's talk about juntas. The non-military kind.

— Clément Canonne (@ccanonne_) April 23, 2020

(As usual, questions below, answers tomorrow)

What is a junta? Basically, a very misleading function. For simplicity, think of f:{0,1}ⁿ→{0,1} (the def generalizes to f:Σⁿ→ℝ)..

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⌛Time for the answers to yesterday's quiz on junta functions*! See thread below. ↴

— Clément Canonne (@ccanonne_) April 24, 2020

* "Technically n variables, morally k ≪ n"

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Weakly weekly quiz, new installment! I'm assuming everyone is very busy with either the #FOCS2020 deadline, the #ICML2020 reviews, or the current global health crisis and juggling with 5 toddlers & 7 Zoom online classes, so I'll keep it short.

— Clément Canonne (@ccanonne_) April 9, 2020

Adaptivity 🗘 and testing 🔎.

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📚 Here are (a day late) the answers to this week's quiz on adaptivity 🗘 in property testing 🥚. A thread ↴

— Clément Canonne (@ccanonne_) April 11, 2020

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🗒️ Today's quiz will be short, and focus on a very useful primitive called "hypothesis selection."

— Clément Canonne (@ccanonne_) March 26, 2020

Say you've got, as usual, data points coming from some unknown probability distribution p over some domain 𝓧. And you have a list of possible 'models' q₁, q₂,..., qₙ.

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Answers and discussions for yesterday's quiz on hypothesis selection: a thread.

— Clément Canonne (@ccanonne_) March 27, 2020

The problem: you have data from some unknown probability distribution p, a list of n hypotheses q₁,..., qₙ. Assuming one of the qₜ's is good, find one 'not too bad.'

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📊 The weakly weekly quiz is back: in today's edition, "learning and testing, how are they related?" Specifically, we're going to look at functions f: {0,1}ⁿ→{0,1} and probability distributions p on a domaine of size [k].

— Clément Canonne (@ccanonne_) March 19, 2020

Hope you find that enjoyable. 1/11

Answers and discussions for yesterday's quiz on learning v. testing Boolean functions and probability distributions: a thread. 🧵 https://t.co/dG0N5anxMW

— Clément Canonne (@ccanonne_) March 20, 2020

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Quizz of the week: I'm slightly jetlagged, so it'll be a bit short. Let's about 📉*monotone* 📈 probability distributions (univariate, discrete).

— Clément Canonne (@ccanonne_) March 5, 2020

That is, you have a distribution p over [k] = {1,2,...,k}, and you know its probability mass function is (wlog) non-increasing.

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Answers and discussion for yesterday's polls on inference for (discrete) monotone distributions 📈📉 below. I hope you won't find it too... monotonous↴

— Clément Canonne (@ccanonne_) March 7, 2020

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📊The past two weeks, we talked about learning (density estimation) of discrete distributions. Now, let's look at the flip side, and see a bit of what happens w/ *testing* (goodness-of-fit, hypothesis testing,...).

— Clément Canonne (@ccanonne_) February 27, 2020

All after, our distance measure will be total variation (TV)

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Answers and discussion for yesterday's polls on testin 📊🐘 below. Some things, I'd say, are *far* from obvious.↴ https://t.co/gueiqlGBYA

— Clément Canonne (@ccanonne_) February 28, 2020

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So last week was density estimation (distribution learning) of distributions 📊 over a domain of size k in total variation, Hellinger, and KL distances. Now you may wonder: "What about the rest?"

— Clément Canonne (@ccanonne_) February 20, 2020

Let's see some of the rest: ℓ₂, ℓ_∞, and Kolmogorov.

First: "Kolmogorov"?

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Answers and discussion for yesterday's poll on "density estimation in other distances, such as Kolmogorov" below The answer MAY surprise you (with probability ≥ 0.428). ↴

— Clément Canonne (@ccanonne_) February 21, 2020

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📊 Learning discrete distributions over a finite domain, a short thread.↴

— Clément Canonne (@ccanonne_) February 15, 2020

Given n i.i.d. samples from some unknown p over a domain of size k and parameters ε,δ, you want to output some hypothesis q s.t.

d(p,q) < ε

with probability at least 1-δ. How large must n be?

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📊 So, the results... Learning discrete distributions over a finite domain of size k to distance ε, with probability 1-δ: how hard can it be?

— Clément Canonne (@ccanonne_) February 16, 2020

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Test your intuition (or, in my case, lack thereof): hypothesis testing in high dimensions. You are given n i.i.d. samples from an unknown multivariate Gaussian p = N(μ,Σ) in ℝ^d. You want to know if p is *the* standard Gaussian N(0,I). 1/8

— Clément Canonne (@ccanonne_) October 27, 2019

So, the answers:

— Clément Canonne (@ccanonne_) October 28, 2019

- Q1 and Q2 both have the same one, √d/ε².

The fact that it's the same comes from the discussion on equivalent between TV to N(0,I) and ℓ₂ norm of the mean.

Learning the mean to ε in ℓ₂ would be d/ε². But estimating ||μ||₂ is quadratically cheaper! 1/8