Statistical Learning

Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms NeurIPS 2022 Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation ICML 2022 Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs AAAI 2022 Calibration Error for Heterogeneous Treatment Effects AISTATS 2022 Calibration of Machine Reading Systems at Scale ACL 2022 Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation EMNLP 2022 Causal Classification: Treatment Effect Estimation vs. Outcome Prediction JMLR 2022 Causally motivated shortcut removal using auxiliary labels AISTATS 2022 Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations CLeaR 2022 CD-split and HPD-split: Efficient Conformal Regions in High Dimensions JMLR 2022 CEM: Machine-Human Chatting Handoff via Causal-Enhance Module EMNLP 2022 Centroid Approximation for Bootstrap: Improving Particle Quality at Inference ICML 2022 Certifying Out-of-Domain Generalization for Blackbox Functions ICML 2022 Chained generalisation bounds COLT 2022 Change point localization in dependent dynamic nonparametric random dot product graphs JMLR 2022 Characterization of Excess Risk for Locally Strongly Convex Population Risk NeurIPS 2022 Chernoff Sampling for Active Testing and Extension to Active Regression AISTATS 2022 Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory ACL 2022 Cluster Randomized Designs for One-Sided Bipartite Experiments NeurIPS 2022 Comparing Distributional and Curated Approaches for Cross-lingual Frame Alignment NAACL 2022 Conformal Off-Policy Prediction in Contextual Bandits NeurIPS 2022 Conformal Prediction Sets with Limited False Positives ICML 2022 Context-Based Dynamic Pricing with Partially Linear Demand Model NeurIPS 2022 Contextual Information-Directed Sampling ICML 2022 Convergence Guarantees for the Good-Turing Estimator JMLR 2022