Statistical Learning

Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach NeurIPS 2023 Clustering above Exponential Families with Tempered Exponential Measures AISTATS 2023 Collision Probability Matching Loss for Disentangling Epistemic Uncertainty from Aleatoric Uncertainty AISTATS 2023 Common Law Annotations: Investigating the Stability of Dialog System Output Annotations ACL 2023 Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples EACL 2023 Compression, Generalization and Learning JMLR 2023 Compress Then Test: Powerful Kernel Testing in Near-linear Time AISTATS 2023 Computably Continuous Reinforcement-Learning Objectives Are PAC-Learnable AAAI 2023 Computing Divergences between Discrete Decomposable Models AAAI 2023 Conditional independence testing under misspecified inductive biases NeurIPS 2023 Conditionally Strongly Log-Concave Generative Models ICML 2023 Confidence and Uncertainty Assessment for Distributional Random Forests JMLR 2023 Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries JMLR 2023 Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping ICML 2023 Conformalized matrix completion NeurIPS 2023 Conformalized Unconditional Quantile Regression AISTATS 2023 Conformal Meta-learners for Predictive Inference of Individual Treatment Effects NeurIPS 2023 Conformal Prediction for Federated Uncertainty Quantification Under Label Shift ICML 2023 Conformal Prediction Sets for Ordinal Classification NeurIPS 2023 Contextual Combinatorial Bandits with Probabilistically Triggered Arms ICML 2023 Contextualizing the Limits of Model & Evaluation Dataset Curation on Semantic Similarity Classification Tasks EMNLP 2023 Contextual Stochastic Block Model: Sharp Thresholds and Contiguity JMLR 2023 Contrasting Identifying Assumptions of Average Causal Effects: Robustness and Semiparametric Efficiency JMLR 2023 Convolutional Persistence as a Remedy to Neural Model Analysis AISTATS 2023 Counterfactuals for the Future AAAI 2023