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Statistical Learning

4,117 papers

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Papers

Differentially Private Chi-squared Test by Unit Circle Mechanism ICML 2017
Meritocratic Fairness for Cross-Population Selection ICML 2017
Understanding Black-box Predictions via Influence Functions ICML 2017
Algorithmic Stability and Hypothesis Complexity ICML 2017
Estimating the unseen from multiple populations ICML 2017
Identifying Best Interventions through Online Importance Sampling ICML 2017
High-Dimensional Structured Quantile Regression ICML 2017
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction ICML 2017
Selective Inference for Sparse High-Order Interaction Models ICML 2017
Optimal and Adaptive Off-policy Evaluation in Contextual Bandits ICML 2017
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging ICML 2017
Robust Gaussian Graphical Model Estimation with Arbitrary Corruption ICML 2017
A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery ICML 2017
High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation ICML 2017
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity ICML 2017
Latent Feature Lasso ICML 2017
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible ICML 2017
Learning a Ground Truth Ranking Using Noisy Approval Votes IJCAI 2017
Score Aggregation via Spectral Method IJCAI 2017
Further Results on Predicting Cognitive Abilities for Adaptive Visualizations IJCAI 2017
On the Complexity of Learning from Label Proportions IJCAI 2017
Efficient Kernel Selection via Spectral Analysis IJCAI 2017
Regional Concept Drift Detection and Density Synchronized Drift Adaptation IJCAI 2017
Thresholding Bandits with Augmented UCB IJCAI 2017
Multi-Positive and Unlabeled Learning IJCAI 2017