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