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conftrace_

statistical learning

372 papers

Papers

Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction ICML 2021 Fair Comparison: Quantifying Variance in Results for Fine-Grained Visual Categorization WACV 2021 Finding Concept-specific Biases in Form–Meaning Associations NAACL 2021 Fine-grained Generalization Analysis of Structured Output Prediction IJCAI 2021 Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models JMLR 2021 Hilbert Sinkhorn Divergence for Optimal Transport CVPR 2021 How Well Generative Adversarial Networks Learn Distributions JMLR 2021 Information-theoretic generalization bounds for black-box learning algorithms NeurIPS 2021 Language Model Evaluation Beyond Perplexity ACL 2021 Learning with invariances in random features and kernel models COLT 2021 Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature JMLR 2021 Model-Based Domain Generalization NeurIPS 2021 Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance MLHC 2021 Modeling Semantics and Pragmatics of Spatial Prepositions via Hierarchical Common-Sense Primitives ACL 2021 Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise ICML 2021 Online stochastic gradient descent on non-convex losses from high-dimensional inference JMLR 2021 On the High Accuracy Limitation of Adaptive Property Estimation AISTATS 2021 On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression AISTATS 2021 On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians ALT 2021 Out-of-Distribution Generalization in Kernel Regression NeurIPS 2021 Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies ICML 2021 Replicating and Extending “Because Their Treebanks Leak”: Graph Isomorphism, Covariants, and Parser Performance ACL 2021 Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning ICML 2021 Risk Monotonicity in Statistical Learning NeurIPS 2021 Stability and Risk Bounds of Iterative Hard Thresholding AISTATS 2021