Statistical Learning

Outlier Robust Mean Estimation with Subgaussian Rates via Stability NeurIPS 2020 PAC-Bayes Analysis Beyond the Usual Bounds NeurIPS 2020 PAC-Bayesian Bound for the Conditional Value at Risk NeurIPS 2020 PAC-Bayesian Contrastive Unsupervised Representation Learning UAI 2020 PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction ICLR 2020 PAC learning with stable and private predictions COLT 2020 Pan-Private Uniformity Testing COLT 2020 Performative Prediction ICML 2020 Periodic Q-Learning L4DC 2020 Phase Transitions for the Information Bottleneck in Representation Learning ICLR 2020 Phonetic Entrainment in Cooperative Dialogues: A Case of Russian Interspeech 2020 Polishing the Classical Likelihood Ratio Test by Supervised Learning for Voice Activity Detection Interspeech 2020 Predicting the Growth of Morphological Families from Social and Linguistic Factors ACL 2020 Predicting Typological Features in WALS using Language Embeddings and Conditional Probabilities: ÚFAL Submission to the SIGTYP 2020 Shared Task EMNLP 2020 Prediction regions through Inverse Regression JMLR 2020 Predictive inference is free with the jackknife+-after-bootstrap NeurIPS 2020 Preference Modeling with Context-Dependent Salient Features ICML 2020 Private Identity Testing for High-Dimensional Distributions NeurIPS 2020 Privately detecting changes in unknown distributions ICML 2020 Private Mean Estimation of Heavy-Tailed Distributions COLT 2020 Private Query Release Assisted by Public Data ICML 2020 Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks ICLR 2020 Probabilistic Extension of Precision, Recall, and F1 Score for More Thorough Evaluation of Classification Models EMNLP 2020 Probably Approximately Correct Vision-Based Planning using Motion Primitives CoRL 2020 Proper Learning, Helly Number, and an Optimal SVM Bound COLT 2020