Media Summary: 12th Innovations in Theoretical Computer Science Conference (ITCS 2021) Paper by Itai Dinur presented at Eurocrypt 2020 See Christopher Beck Member, School of Mathematics September 29, 2014 More videos on

Time Space Lower Bounds For - Detailed Analysis & Overview

12th Innovations in Theoretical Computer Science Conference (ITCS 2021) Paper by Itai Dinur presented at Eurocrypt 2020 See Christopher Beck Member, School of Mathematics September 29, 2014 More videos on Computer Science/Discrete Mathematics Seminar I Topic: A Authors: Kai-Min Chung; Siyao Guo; Qipeng Liu; Luowen Qian Affiliations: Academia Sinica; New York University Shanghai; ... Michael Kapralov (Ecole Polytechnique Federale de Lausanne) ...

MIT 6.851 Advanced Data Structures, Spring 2012 View the complete course: Instructor: Erik ... Fast Learning Requires Good Memory: A Time-Space Lower Bound for Parity Learning

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Time-Space Lower Bounds for Learning I
Ran Raz (Princeton):Learning Fast Requires Good Memory:Time-Space Tradeoff Lower Bounds for Learning
Time-Space Lower Bounds for Proof Systems with Quantum and Randomized Verifiers
Time-Space Lower Bounds for Learning II
Tight Time-Space Lower Bounds for Finding Multiple Collision Pairs and Their Applications
Time, space and monotone circuits - Christopher Beck
A time-space lower bound for a large class of learning problems - Ran Raz
Tight Quantum Time-Space Tradeoffs for Function Inversion
Space lower bounds for linear prediction
Upper & Lower Bounds | Number | Maths | FuseSchool
An Optimal Space Lower Bound for Approximating MAX-CUT
13. Integer Lower Bounds
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Time-Space Lower Bounds for Learning I

Time-Space Lower Bounds for Learning I

Avishay Tal, Stanford University https://simons.berkeley.edu/talks/tradeoffs-learning-theory-i

Ran Raz (Princeton):Learning Fast Requires Good Memory:Time-Space Tradeoff Lower Bounds for Learning

Ran Raz (Princeton):Learning Fast Requires Good Memory:Time-Space Tradeoff Lower Bounds for Learning

D1T3 of Theory-Fest 2019-2020 https://sites.google.com/view/tau-theory-fest/home.

Time-Space Lower Bounds for Proof Systems with Quantum and Randomized Verifiers

Time-Space Lower Bounds for Proof Systems with Quantum and Randomized Verifiers

12th Innovations in Theoretical Computer Science Conference (ITCS 2021) http://itcs-conf.org/

Time-Space Lower Bounds for Learning II

Time-Space Lower Bounds for Learning II

Avishay Tal, Stanford University https://simons.berkeley.edu/talks/clone-tradeoffs-learning-theory-ii

Tight Time-Space Lower Bounds for Finding Multiple Collision Pairs and Their Applications

Tight Time-Space Lower Bounds for Finding Multiple Collision Pairs and Their Applications

Paper by Itai Dinur presented at Eurocrypt 2020 See https://iacr.org/cryptodb/data/paper.php?pubkey=30185.

Time, space and monotone circuits - Christopher Beck

Time, space and monotone circuits - Christopher Beck

Christopher Beck Member, School of Mathematics September 29, 2014 More videos on http://video.ias.edu.

A time-space lower bound for a large class of learning problems - Ran Raz

A time-space lower bound for a large class of learning problems - Ran Raz

Computer Science/Discrete Mathematics Seminar I Topic: A

Tight Quantum Time-Space Tradeoffs for Function Inversion

Tight Quantum Time-Space Tradeoffs for Function Inversion

Authors: Kai-Min Chung; Siyao Guo; Qipeng Liu; Luowen Qian Affiliations: Academia Sinica; New York University Shanghai; ...

Space lower bounds for linear prediction

Space lower bounds for linear prediction

Yuval Dagan

Upper & Lower Bounds | Number | Maths | FuseSchool

Upper & Lower Bounds | Number | Maths | FuseSchool

Upper &

An Optimal Space Lower Bound for Approximating MAX-CUT

An Optimal Space Lower Bound for Approximating MAX-CUT

Michael Kapralov (Ecole Polytechnique Federale de Lausanne) ...

13. Integer Lower Bounds

13. Integer Lower Bounds

MIT 6.851 Advanced Data Structures, Spring 2012 View the complete course: http://ocw.mit.edu/6-851S12 Instructor: Erik ...

Fast Learning Requires Good Memory: A Time-Space Lower Bound for Parity Learning

Fast Learning Requires Good Memory: A Time-Space Lower Bound for Parity Learning

Fast Learning Requires Good Memory: A Time-Space Lower Bound for Parity Learning