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Learning Theory

5,312 papers

Papers per year

Papers

Active Learning Polynomial Threshold Functions NIPS 2022
Using time-series privileged information for provably efficient learning of prediction models AISTATS 2022
Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems EMNLP 2022
Generalization Error Bounds on Deep Learning with Markov Datasets NIPS 2022
Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training? CVPR 2022
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation EMNLP 2022
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits AISTATS 2022
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective AISTATS 2022
Evaluating high-order predictive distributions in deep learning UAI 2022
Uncoupled Learning Dynamics with $O(\log T)$ Swap Regret in Multiplayer Games NIPS 2022
Distinguishing rule and exemplar-based generalization in learning systems ICML 2022
Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit NIPS 2022
The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning AAAI 2022
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models AAAI 2022
Reverse Engineering the Neural Tangent Kernel ICML 2022
Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise AISTATS 2022
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry ICML 2022
Stability and Generalization for Markov Chain Stochastic Gradient Methods NIPS 2022
Approximation and Optimization Theory for Linear Continuous-Time Recurrent Neural Networks JMLR 2022
Nearly Optimal Algorithms for Level Set Estimation AISTATS 2022
On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum Optimization AISTATS 2022
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation COLT 2022
Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach IJCAI 2022
Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts NIPS 2022
Implicit Bias of Linear Equivariant Networks ICML 2022