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Statistical Learning

4,076 papers

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Papers

On the number of variables to use in principal component regression NIPS 2019
Graph Structured Prediction Energy Networks NIPS 2019
Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees NIPS 2019
A Meta-Analysis of Overfitting in Machine Learning NIPS 2019
Differentially Private Anonymized Histograms NIPS 2019
Outlier-robust estimation of a sparse linear model using $\ell_1$-penalized Huber's $M$-estimator NIPS 2019
A General Framework for Symmetric Property Estimation NIPS 2019
The Broad Optimality of Profile Maximum Likelihood NIPS 2019
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses NIPS 2019
Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models NIPS 2019
Surveys without Questions: A Reinforcement Learning Approach AAAI 2019
On the Distortion Value of the Elections with Abstention AAAI 2019
Forming Probably Stable Communities with Limited Interactions AAAI 2019
State Abstraction as Compression in Apprenticeship Learning AAAI 2019
An Exponential Tail Bound for the Deleted Estimate AAAI 2019
Transductive Bounds for the Multi-Class Majority Vote Classifier AAAI 2019
Non-Asymptotic Uniform Rates of Consistency for k-NN Regression AAAI 2019
Efficient Counterfactual Learning from Bandit Feedback AAAI 2019
Training Complex Models with Multi-Task Weak Supervision AAAI 2019
How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? AAAI 2019
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data AAAI 2019
Bounding Uncertainty for Active Batch Selection AAAI 2019
SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019
A Powerful Global Test Statistic for Functional Statistical Inference AAAI 2019
Leveraging Observations in Bandits: Between Risks and Benefits AAAI 2019