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

16 February 2016

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

18 / 18 papers shown

Title
Auto-Regressive Next-Token Predictors are Universal Learners Eran Malach LRM 24 36 0 13 Sep 2023
Memory-Query Tradeoffs for Randomized Convex Optimization Xinyu Chen Binghui Peng 36 6 0 21 Jun 2023
A survey on the complexity of learning quantum states Anurag Anshu Srinivasan Arunachalam 34 66 0 31 May 2023
Near Optimal Memory-Regret Tradeoff for Online Learning Binghui Peng A. Rubinstein CLL 34 10 0 03 Mar 2023
On Differential Privacy and Adaptive Data Analysis with Bounded Space Itai Dinur Uri Stemmer David P. Woodruff Samson Zhou 24 12 0 11 Feb 2023
Powerful Primitives in the Bounded Quantum Storage Model Mohammed Barhoush L. Salvail 14 4 0 11 Feb 2023
Online Prediction in Sub-linear Space Binghui Peng Fred Zhang 23 16 0 16 Jul 2022
Impartial Games: A Challenge for Reinforcement Learning Bei Zhou Søren Riis 32 6 0 25 May 2022
Estimation of Entropy in Constant Space with Improved Sample Complexity Maryam Aliakbarpour A. Mcgregor Jelani Nelson Erik Waingarten 23 8 0 19 May 2022
Memory Bounds for Continual Learning Xi Chen Christos H. Papadimitriou Binghui Peng CLL LRM 29 22 0 22 Apr 2022
Efficient Convex Optimization Requires Superlinear Memory A. Marsden Vatsal Sharan Aaron Sidford Gregory Valiant 29 14 0 29 Mar 2022
Exponential separations between learning with and without quantum memory Sitan Chen Jordan S. Cotler Hsin-Yuan Huang Jingkai Li 42 109 0 10 Nov 2021
Can Shallow Neural Networks Beat the Curse of Dimensionality? A mean field training perspective Stephan Wojtowytsch E. Weinan MLT 26 48 0 21 May 2020
Memory-Sample Tradeoffs for Linear Regression with Small Error Vatsal Sharan Aaron Sidford Gregory Valiant 17 35 0 18 Apr 2019
Distributed Learning with Sublinear Communication Jayadev Acharya Christopher De Sa Dylan J. Foster Karthik Sridharan FedML 21 40 0 28 Feb 2019
Lower Bound On the Computational Complexity of Discounted Markov Decision Problems Yichen Chen Mengdi Wang 14 17 0 20 May 2017
Mixing Complexity and its Applications to Neural Networks Michal Moshkovitz Naftali Tishby 21 11 0 02 Mar 2017
Faster Space-Efficient Algorithms for Subset Sum, k-Sum and Related Problems N. Bansal S. Garg Jesper Nederlof Nikhil Vyas 17 19 0 08 Dec 2016