Statistical Learning

Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression NeurIPS 2021 Causal Effect Inference for Structured Treatments NeurIPS 2021 Causal Inference with Selectively Deconfounded Data AISTATS 2021 Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners ICML 2021 Characterizing the Loss Landscape in Non-Negative Matrix Factorization AAAI 2021 Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote NeurIPS 2021 Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels ICML 2021 Comparing Test Sets with Item Response Theory ACL 2021 Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation AISTATS 2021 Compressed Maximum Likelihood ICML 2021 Concentration inequalities under sub-Gaussian and sub-exponential conditions NeurIPS 2021 Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization COLT 2021 Conditional Bures Metric for Domain Adaptation CVPR 2021 Confidence Intervals for ASR-Based TTS Evaluation Interspeech 2021 Conformal Bayesian Computation NeurIPS 2021 Conformal prediction interval for dynamic time-series ICML 2021 Conformal Prediction using Conditional Histograms NeurIPS 2021 Conformal Time-series Forecasting NeurIPS 2021 Consistency and Finite Sample Behavior of Binary Class Probability Estimation AAAI 2021 Consistency of Gaussian Process Regression in Metric Spaces JMLR 2021 Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers NeurIPS 2021 Consistent regression when oblivious outliers overwhelm ICML 2021 Consistent Semi-Supervised Graph Regularization for High Dimensional Data JMLR 2021 CONTRA: Contrarian statistics for controlled variable selection AISTATS 2021 Contributions of Propositional Content and Syntactic Category Information in Sentence Processing NAACL 2021