statistical learning

Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty AISTATS 2023 Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection NeurIPS 2023 VeCare: Statistical Acoustic Sensing for Automotive In-Cabin Monitoring NSDI 2023 Weakly Supervised Regression with Interval Targets ICML 2023 Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees ICML 2023 What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NeurIPS 2023 Adversarial Attack and Defense for Non-Parametric Two-Sample Tests ICML 2022 Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting NeurIPS 2022 Bias-Variance Decompositions for Margin Losses AISTATS 2022 Characterization of Excess Risk for Locally Strongly Convex Population Risk NeurIPS 2022 Data-Derived Weak Universal Consistency JMLR 2022 Debiased Machine Learning without Sample-Splitting for Stable Estimators NeurIPS 2022 Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory AAAI 2022 Fairness Trade-Offs and Partial Debiasing ACML 2022 Faster Rates of Private Stochastic Convex Optimization ALT 2022 Feature selection using e-values ICML 2022 Improving Certified Robustness via Statistical Learning with Logical Reasoning NeurIPS 2022 Inferring Cause and Effect in the Presence of Heteroscedastic Noise ICML 2022 Learning and Covering Sums of Independent Random Variables with Unbounded Support NeurIPS 2022 List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering NeurIPS 2022 Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians ALT 2022 MS-COMET: More and Better Human Judgements Improve Metric Performance EMNLP 2022 One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation AISTATS 2022 Online Control of the False Discovery Rate under "Decision Deadlines" AISTATS 2022 On the Epistemic Limits of Personalized Prediction NeurIPS 2022