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Learning Theory

6,809 papers

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Papers

Mutli-Armed Bandits with Network Interference NeurIPS 2024 Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online Learning ICML 2024 Natural Language Satisfiability: Exploring the Problem Distribution and Evaluating Transformer-based Language Models ACL 2024 Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization AISTATS 2024 Nearly Minimax Optimal Submodular Maximization with Bandit Feedback NeurIPS 2024 Near-Optimal Distributionally Robust Reinforcement Learning with General L_p Norms NeurIPS 2024 Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs NeurIPS 2024 Near-Optimal Learning and Planning in Separated Latent MDPs COLT 2024 Near-optimal Per-Action Regret Bounds for Sleeping Bandits AISTATS 2024 Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits AISTATS 2024 Neglected Hessian component explains mysteries in sharpness regularization NeurIPS 2024 NegoLog: An Integrated Python-based Automated Negotiation Framework with Enhanced Assessment Components IJCAI 2024 Neural collapse vs. low-rank bias: Is deep neural collapse really optimal? NeurIPS 2024 Neural Jump-Diffusion Temporal Point Processes ICML 2024 Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit NeurIPS 2024 Neural Networks Learn Statistics of Increasing Complexity ICML 2024 Neural Redshift: Random Networks are not Random Functions CVPR 2024 NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks NeurIPS 2024 Neural Tangent Kernels for Axis-Aligned Tree Ensembles ICML 2024 Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks ICML 2024 Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization ICLR 2024 New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions ICLR 2024 No Free Delivery Service: Epistemic limits of passive data collection in complex social systems NeurIPS 2024 No Free Prune: Information-Theoretic Barriers to Pruning at Initialization ICML 2024 Noisy Interpolation Learning with Shallow Univariate ReLU Networks ICLR 2024