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684 directly classified papers

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Papers

Online multiple testing with e-values AISTATS 2024
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees NIPS 2024
Decorrelated Variable Importance JMLR 2024
Semi-supervised Inference for Block-wise Missing Data without Imputation JMLR 2024
Learning Adaptive Kernels for Statistical Independence Tests AISTATS 2024
Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance? NIPS 2024
An Improved Algorithm for Learning Drifting Discrete Distributions AISTATS 2024
Differentially Private Equivalence Testing for Continuous Distributions and Applications NIPS 2024
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data AAAI 2024
Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks AISTATS 2024
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent AISTATS 2024
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches AAAI 2024
Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference AAAI 2024
ROME: Robust Multi-Modal Density Estimator IJCAI 2024
Sparse Recovery With Multiple Data Streams: An Adaptive Sequential Testing Approach JMLR 2024
On Differentially Private U Statistics NIPS 2024
An Approximate Skolem Function Counter AAAI 2024
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems NIPS 2024
Higher-Order Causal Message Passing for Experimentation with Complex Interference NIPS 2024
On Tail Decay Rate Estimation of Loss Function Distributions JMLR 2024
Cluster-Adaptive Network A/B Testing: From Randomization to Estimation JMLR 2024
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption AAAI 2024
Estimating Agreement by Chance for Sequence Annotation ACL 2024
Preference-based Pure Exploration NIPS 2024
Understanding Higher-Order Correlations Among Semantic Components in Embeddings EMNLP 2024