Showing 341–360 of 1,000 results
/ Date/ Name
Oct 11, 2023Risk Aware Benchmarking of Large Language ModelsOct 10, 2023Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion ModelingOct 5, 2023Anytime-valid t-tests and confidence sequences for Gaussian means with unknown varianceOct 5, 2023Simultaneous Dimensionality Reduction: A Data Efficient Approach for Multimodal Representations LearningOct 4, 2023Neural Bayes Estimators for Irregular Spatial Data using Graph Neural NetworksOct 4, 2023Quantifying and mitigating the impact of label errors on model disparity metricsSep 25, 2023Distribution-Free Statistical Dispersion Control for Societal ApplicationsSep 11, 2023Reaction coordinate flows for model reduction of molecular kineticsAug 28, 2023Kernel Limit for a Class of Recurrent Neural Networks Trained on Ergodic Data SequencesAug 28, 2023Deep graphical regression for jointly moderate and extreme Australian wildfiresAug 3, 2023Minimax Statistical Estimation under Wasserstein ContaminationJul 20, 2023Flow Map Learning for Unknown Dynamical Systems: Overview, Implementation, and BenchmarksJul 12, 2023Online Laplace Model Selection RevisitedJul 5, 2023How Deep Neural Networks Learn Compositional Data: The Random Hierarchy ModelJun 27, 2023Neural Bayes estimators for censored inference with peaks-over-threshold modelsJun 13, 2023Amortized Simulation-Based Frequentist Inference for Tractable and Intractable LikelihoodsJun 12, 2023Analysis of the Relative Entropy Asymmetry in the Regularization of Empirical Risk MinimizationJun 10, 2023Partial Identifiability for Domain AdaptationJun 9, 2023Energy-Dissipative Evolutionary Deep Operator Neural NetworksJun 2, 2023Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms