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684 directly classified papers

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Papers

Online multiple testing with e-values AISTATS 2024
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning EMNLP 2024
Higher-Order Causal Message Passing for Experimentation with Complex Interference NIPS 2024
An Improved Algorithm for Learning Drifting Discrete Distributions AISTATS 2024
Gibbs-Based Information Criteria and the Over-Parameterized Regime AISTATS 2024
False discovery proportion envelopes with m-consistency JMLR 2024
Minimax Rates for High-Dimensional Random Tessellation Forests JMLR 2024
Deep anytime-valid hypothesis testing AISTATS 2024
Semi-supervised Inference for Block-wise Missing Data without Imputation JMLR 2024
Confident Feature Ranking AISTATS 2024
Covariate Shift Corrected Conditional Randomization Test NIPS 2024
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NIPS 2024
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent AISTATS 2024
Cluster-Adaptive Network A/B Testing: From Randomization to Estimation JMLR 2024
Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks NIPS 2024
Robust group and simultaneous inferences for high-dimensional single index model NIPS 2024
Learning Adaptive Kernels for Statistical Independence Tests AISTATS 2024
Improving Normalization With the James-Stein Estimator WACV 2024
Graph fission and cross-validation AISTATS 2024
Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms JMLR 2024
Two is Better Than One: Regularized Shrinkage of Large Minimum Variance Portfolios JMLR 2024
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification NIPS 2024
Piecewise deterministic generative models NIPS 2024
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees NIPS 2024
A Proposal for Scaling the Scaling Laws EACL 2024