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Statistical Learning

4,076 papers

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Papers

Bayesian leave-one-out cross-validation for large data ICML 2019
Calibrated Model-Based Deep Reinforcement Learning ICML 2019
Dropout as a Structured Shrinkage Prior ICML 2019
Maximum Likelihood Estimation for Learning Populations of Parameters ICML 2019
Deep Factors for Forecasting ICML 2019
On Sparse Linear Regression in the Local Differential Privacy Model ICML 2019
On the statistical rate of nonlinear recovery in generative models with heavy-tailed data ICML 2019
Improving Model Selection by Employing the Test Data ICML 2019
Calibrated Approximate Bayesian Inference ICML 2019
Sample-Optimal Parametric Q-Learning Using Linearly Additive Features ICML 2019
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds ICML 2019
Theoretically Principled Trade-off between Robustness and Accuracy ICML 2019
Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits ICML 2019
The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects ICML 2019
Natural Analysts in Adaptive Data Analysis ICML 2019
Stochastic Constraint Propagation for Mining Probabilistic Networks IJCAI 2019
Sketched Iterative Algorithms for Structured Generalized Linear Models IJCAI 2019
Finding Statistically Significant Interactions between Continuous Features IJCAI 2019
Ensemble-based Ultrahigh-dimensional Variable Screening IJCAI 2019
Latent Semantics Encoding for Label Distribution Learning IJCAI 2019
HDI-Forest: Highest Density Interval Regression Forest IJCAI 2019
LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs IJCAI 2019
Principal Component Analysis in the Local Differential Privacy Model IJCAI 2019
Simultaneous Prediction Intervals for Patient-Specific Survival Curves IJCAI 2019
Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects IJCNLP 2019