Showing 281–300 of 1,000 results
/ Date/ Name
Nov 10, 2024Stabilized Inverse Probability Weighting via Isotonic CalibrationNov 4, 2024Sparsing Law: Towards Large Language Models with Greater Activation SparsityOct 31, 2024Inclusive KL Minimization: A Wasserstein-Fisher-Rao Gradient Flow PerspectiveOct 27, 2024Kernel Approximation of Fisher-Rao Gradient FlowsOct 23, 2024Deep learning for model correction of dynamical systems with data scarcityOct 18, 2024Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change DistributionsOct 17, 2024Supervised Kernel ThinningOct 17, 2024Learning Counterfactual Distributions via Kernel Nearest NeighborsOct 11, 2024Causal machine learning for predicting treatment outcomesOct 10, 2024Gap-Dependent Bounds for Q-Learning using Reference-Advantage DecompositionOct 7, 2024Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural CollapseOct 2, 2024Asymmetry of the Relative Entropy in the Regularization of Empirical Risk MinimizationSep 30, 2024On the topology and geometry of population-based SHMSep 27, 2024Chebyshev Feature Neural Network for Accurate Function ApproximationSep 13, 2024Batch Ensemble for Variance Dependent Regret in Stochastic BanditsAug 29, 2024The Star Geometry of Critic-Based Regularizer LearningAug 23, 2024An Overview on Machine Learning Methods for Partial Differential Equations: from Physics Informed Neural Networks to Deep Operator LearningAug 22, 2024Unsupervised discovery of the shared and private geometry in multi-view dataJul 10, 2024Identification and Estimation of the Bi-Directional MR with Some Invalid InstrumentsJun 29, 2024Deciphering interventional dynamical causality from non-intervention complex systems