Statistical Learning

Probabilistic Conformal Prediction Using Conditional Random Samples AISTATS 2023 Probabilities of Causation: Role of Observational Data AISTATS 2023 Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information AAAI 2023 Prompting is not a substitute for probability measurements in large language models EMNLP 2023 Proper Losses for Discrete Generative Models ICML 2023 Proper Scoring Rules for Survival Analysis ICML 2023 ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design NeurIPS 2023 ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics NeurIPS 2023 Provable benefits of score matching NeurIPS 2023 Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023 QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules NeurIPS 2023 Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures? UAI 2023 Quantifying Train-Evaluation Overlap with Nearest Neighbors ACL 2023 Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions ICLR 2023 Quasi-Monte Carlo Graph Random Features NeurIPS 2023 Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves AISTATS 2023 Random Forests for Change Point Detection JMLR 2023 Randomized Spectral Co-Clustering for Large-Scale Directed Networks JMLR 2023 Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption ICML 2023 R-divergence for Estimating Model-oriented Distribution Discrepancy NeurIPS 2023 Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing ICML 2023 Recursive Quantile Estimation: Non-Asymptotic Confidence Bounds JMLR 2023 Re-Examining Summarization Evaluation across Multiple Quality Criteria EMNLP 2023 Refined Mechanism Design for Approximately Structured Priors via Active Regression NeurIPS 2023 Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts ICML 2023