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23 papers

Papers

A Sample Efficient Conditional Independence Test in the Presence of Discretization ICML 2025 Fast and Multiphase Rates for Nearest Neighbor Classifiers COLT 2025 Learning Curves of Stochastic Gradient Descent in Kernel Regression ICML 2025 Sample Complexity of Correlation Detection in the Gaussian Wigner Model ICML 2025 Sampling Boundary for Causal Effect Estimation ACML 2025 Uncertainty Quantification for LLM-Based Survey Simulations ICML 2025 A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models ICML 2024 Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses ICML 2024 Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts ICML 2024 Challenges and Considerations in the Evaluation of Bayesian Causal Discovery ICML 2024 Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget ICML 2024 Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding ICLR 2024 Improving Computational Complexity in Statistical Models with Local Curvature Information ICML 2024 LIMID Quality Control Models for Increasing Failure Rate Processes PGM 2024 On Efficient and Statistical Quality Estimation for Data Annotation ACL 2024 Analysis of Mean Opinion Scores in Subjective Evaluation of Synthetic Speech Based on Tail Probabilities Interspeech 2023 Are reported accuracies in the clinical speech machine learning literature overoptimistic? Interspeech 2022 Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size AISTATS 2022 Searching for a Higher Power in the Human Evaluation of MT EMNLP 2022 Optimal Prediction of the Number of Unseen Species with Multiplicity NeurIPS 2020 Statistical Power and Translationese in Machine Translation Evaluation EMNLP 2020 Starting Small - Learning with Adaptive Sample Sizes ICML 2016 QUIC-SVD: Fast SVD Using Cosine Trees NeurIPS 2008