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Statistical Learning

4,076 papers

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Papers

Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More ICML 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks ICML 2020
Preference Modeling with Context-Dependent Salient Features ICML 2020
Estimating the Number and Effect Sizes of Non-null Hypotheses ICML 2020
On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies ICML 2020
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality ICML 2020
Data preprocessing to mitigate bias: A maximum entropy based approach ICML 2020
Mutual Transfer Learning for Massive Data ICML 2020
Convergence Rates of Variational Inference in Sparse Deep Learning ICML 2020
Learning Opinions in Social Networks ICML 2020
Privately detecting changes in unknown distributions ICML 2020
Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime ICML 2020
Goodness-of-Fit Tests for Inhomogeneous Random Graphs ICML 2020
Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification ICML 2020
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features ICML 2020
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation ICML 2020
Familywise Error Rate Control by Interactive Unmasking ICML 2020
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing ICML 2020
Generalization Error of Generalized Linear Models in High Dimensions ICML 2020
Identifying Statistical Bias in Dataset Replication ICML 2020
Learning with Multiple Complementary Labels ICML 2020
Accountable Off-Policy Evaluation With Kernel Bellman Statistics ICML 2020
Topic Modeling via Full Dependence Mixtures ICML 2020
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles ICML 2020
Abstraction Mechanisms Predict Generalization in Deep Neural Networks ICML 2020