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Learning Theory

5,334 papers

Papers per year

17
66
123
466
307
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Papers

Generic Oracles for Structured Prediction ACL 2021
Recursive prosody is not finite-state ACL 2021
Simple induction of (deterministic) probabilistic finite-state automata for phonotactics by stochastic gradient descent ACL 2021
Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge ACL 2021
Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuron ACML 2021
Efficient Coreset Constructions via Sensitivity Sampling ACML 2021
Modeling Risky Choices in Unknown Environments ACML 2021
Expert advice problem with noisy low rank loss ACML 2021
Lifelong Learning with Branching Experts ACML 2021
Learning Maximum Margin Markov Networks from examples with missing labels ACML 2021
On the proliferation of support vectors in high dimensions AISTATS 2021
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification AISTATS 2021
Online Sparse Reinforcement Learning AISTATS 2021
The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry AISTATS 2021
The Sample Complexity of Level Set Approximation AISTATS 2021
Generalization Bounds for Stochastic Saddle Point Problems AISTATS 2021
Bandit algorithms: Letting go of logarithmic regret for statistical robustness AISTATS 2021
Sharp Analysis of a Simple Model for Random Forests AISTATS 2021
An Analysis of the Adaptation Speed of Causal Models AISTATS 2021
Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms AISTATS 2021
On the High Accuracy Limitation of Adaptive Property Estimation AISTATS 2021
Stochastic Linear Bandits Robust to Adversarial Attacks AISTATS 2021
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix AISTATS 2021
On Learning Continuous Pairwise Markov Random Fields AISTATS 2021
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation AISTATS 2021