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Learning Theory

5,312 papers

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Papers

The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning NIPS 2020
On Efficiency in Hierarchical Reinforcement Learning NIPS 2020
The Mean-Squared Error of Double Q-Learning NIPS 2020
On Uniform Convergence and Low-Norm Interpolation Learning NIPS 2020
Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions NIPS 2020
Learning Restricted Boltzmann Machines with Sparse Latent Variables NIPS 2020
Synthetic Data Generators -- Sequential and Private NIPS 2020
Efficient active learning of sparse halfspaces with arbitrary bounded noise NIPS 2020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks NIPS 2020
Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study NIPS 2020
On the Theory of Transfer Learning: The Importance of Task Diversity NIPS 2020
Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree NIPS 2020
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability NIPS 2020
Bad Global Minima Exist and SGD Can Reach Them NIPS 2020
Better Full-Matrix Regret via Parameter-Free Online Learning NIPS 2020
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View NIPS 2020
Neural Networks Learning and Memorization with (almost) no Over-Parameterization NIPS 2020
Towards a Combinatorial Characterization of Bounded-Memory Learning NIPS 2020
On Regret with Multiple Best Arms NIPS 2020
Is Long Horizon RL More Difficult Than Short Horizon RL? NIPS 2020
Learnability with Indirect Supervision Signals NIPS 2020
Smoothed Analysis of Online and Differentially Private Learning NIPS 2020
Towards Convergence Rate Analysis of Random Forests for Classification NIPS 2020
Minimax Bounds for Generalized Linear Models NIPS 2020
Universal guarantees for decision tree induction via a higher-order splitting criterion NIPS 2020