Learning Theory
6,809 papers
Papers per year
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Papers
Sharper Generalization Bounds for Pairwise Learning
NeurIPS 2020
Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth
NeurIPS 2020
Sharp Thresholds of the Information Cascade Fragility Under a Mismatched Model
AISTATS 2020
Sharp uniform convergence bounds through empirical centralization
NeurIPS 2020
Showing Your Work Doesn’t Always Work
ACL 2020
Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition
NeurIPS 2020
Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes
COLT 2020
Smoothed Analysis of Online and Differentially Private Learning
NeurIPS 2020
Sobolev Norm Learning Rates for Regularized Least-Squares Algorithms
JMLR 2020
Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity
AISTATS 2020
Span Recovery for Deep Neural Networks with Applications to Input Obfuscation
ICLR 2020
Spectral bandits
JMLR 2020
Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error
IJCAI 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
ICML 2020
Spying on Your Neighbors: Fine-grained Probing of Contextual Embeddings for Information about Surrounding Words
ACL 2020
Stage-wise Conservative Linear Bandits
NeurIPS 2020
Stateful Posted Pricing with Vanishing Regret via Dynamic Deterministic Markov Decision Processes
NeurIPS 2020
Statistical Learning with a Nuisance Component (Extended Abstract)
IJCAI 2020
Statistical-Query Lower Bounds via Functional Gradients
NeurIPS 2020
Staying True to Your Word: (How) Can Attention Become Explanation?
ACL 2020
Structural Decompositions of Epistemic Logic Programs
AAAI 2020
Structure Adaptive Algorithms for Stochastic Bandits
ICML 2020
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis
ICML 2020
Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension
ICML 2020
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors
ICML 2020