Statistical Learning

Handling Overlaps When Lifting Gaussian Bayesian Networks IJCAI 2021 Hiding Numerical Vectors in Local Private and Shuffled Messages IJCAI 2021 Hierarchical probabilistic model for blind source separation via Legendre transformation UAI 2021 High-Confidence Off-Policy (or Counterfactual) Variance Estimation AAAI 2021 High-dimensional Experimental Design and Kernel Bandits ICML 2021 Hilbert Sinkhorn Divergence for Optimal Transport CVPR 2021 Homogeneity Structure Learning in Large-scale Panel Data with Heavy-tailed Errors JMLR 2021 How (Non-)Optimal is the Lexicon? NAACL 2021 How Tight Can PAC-Bayes be in the Small Data Regime? NeurIPS 2021 How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation EACL 2021 Hypothesis testing with low-degree polynomials in the Morris class of exponential families COLT 2021 Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information NeurIPS 2021 Identity testing for Mallows model NeurIPS 2021 Implicit rate-constrained optimization of non-decomposable objectives ICML 2021 Imprecise Oracles Impose Limits to Predictability in Supervised Learning (Extended Abstract) IJCAI 2021 Improved Mutual Information Estimation AAAI 2021 Improving Conditional Coverage via Orthogonal Quantile Regression NeurIPS 2021 Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program) JMLR 2021 Incentivizing Compliance with Algorithmic Instruments ICML 2021 Incorporating tone in the calculation of phonotactic probability ACL 2021 Inference for Network Regression Models with Community Structure ICML 2021 Inference In High-dimensional Single-Index Models Under Symmetric Designs JMLR 2021 Inferring serial correlation with dynamic backgrounds ICML 2021 Information criteria for non-normalized models JMLR 2021 Information-theoretic generalization bounds for black-box learning algorithms NeurIPS 2021