Papers
The Implications of Local Correlation on Learning Some Deep Functions
Eran Malach, Shai Shalev-Shwartz
The interplay between randomness and structure during learning in RNNs
Friedrich Schuessler, Francesca Mastrogiuseppe, Alexis Dubreuil et al.
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
Harm Van Seijen, Hadi Nekoei, Evan Racah et al.
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
Tianlong Chen, Jonathan Frankle, Shiyu Chang et al.
The MAGICAL Benchmark for Robust Imitation
Sam Toyer, Rohin Shah, Andrew Critch et al.
The Mean-Squared Error of Double Q-Learning
Wentao Weng, Harsh Gupta, Niao He et al.
The NetHack Learning Environment
Heinrich Küttler, Nantas Nardelli, Alexander Miller et al.
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View
Christos Thrampoulidis, Samet Oymak, Mahdi Soltanolkotabi
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks
Katherine Hermann, Ting Chen, Simon Kornblith
Theory-Inspired Path-Regularized Differential Network Architecture Search
Pan Zhou, Caiming Xiong, Richard Socher et al.
The phase diagram of approximation rates for deep neural networks
Dmitry Yarotsky, Anton Zhevnerchuk
The Pitfalls of Simplicity Bias in Neural Networks
Harshay Shah, Kaustav Tamuly, Aditi Raghunathan et al.
The Potts-Ising model for discrete multivariate data
Zahra Razaee, Arash Amini
The Power of Comparisons for Actively Learning Linear Classifiers
Max Hopkins, Daniel Kane, Shachar Lovett
The Power of Predictions in Online Control
Chenkai Yu, Guanya Shi, Soon-Jo Chung et al.
The Primal-Dual method for Learning Augmented Algorithms
Etienne Bamas, Andreas Maggiori, Ola Svensson
The route to chaos in routing games: When is price of anarchy too optimistic?
Thiparat Chotibut, Fryderyk Falniowski, Michał Misiurewicz et al.
The Smoothed Possibility of Social Choice
Lirong Xia
The Statistical Complexity of Early-Stopped Mirror Descent
Tomas Vaskevicius, Varun Kanade, Patrick Rebeschini
The Statistical Cost of Robust Kernel Hyperparameter Turning
Raphael Meyer, Christopher Musco
The Strong Screening Rule for SLOPE
Johan Larsson, Malgorzata Bogdan, Jonas Wallin
The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks
Wei Hu, Lechao Xiao, Ben Adlam et al.
The Value Equivalence Principle for Model-Based Reinforcement Learning
Christopher Grimm, Andre Barreto, Satinder P. Singh et al.
The Wasserstein Proximal Gradient Algorithm
Adil Salim, Anna Korba, Giulia Luise
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Othmane MARFOQ, CHUAN XU, Giovanni Neglia et al.