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Statistical Learning

4,076 papers

Papers per year

Papers

Data-dependent PAC-Bayes priors via differential privacy NIPS 2018
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets NIPS 2018
Mallows Models for Top-k Lists NIPS 2018
Data Amplification: A Unified and Competitive Approach to Property Estimation NIPS 2018
Testing for Families of Distributions via the Fourier Transform NIPS 2018
Model-Agnostic Private Learning NIPS 2018
On the Dimensionality of Word Embedding NIPS 2018
Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity NIPS 2018
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model NIPS 2018
On Learning Markov Chains NIPS 2018
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds NIPS 2018
Practical Methods for Graph Two-Sample Testing NIPS 2018
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate NIPS 2018
Minimax Statistical Learning with Wasserstein distances NIPS 2018
Tight Bounds for Collaborative PAC Learning via Multiplicative Weights NIPS 2018
Differentially Private Change-Point Detection NIPS 2018
Manifold Structured Prediction NIPS 2018
Assessing Generative Models via Precision and Recall NIPS 2018
Sharp Bounds for Generalized Uniformity Testing NIPS 2018
Benchmarking Reinforcement Learning Algorithms on Real-World Robots CORL 2018
Surface Realization Shared Task 2018 (SR18): The Tilburg University Approach ACL 2018
Efficient Online Scalar Annotation with Bounded Support ACL 2018
The price of debiasing automatic metrics in natural language evalaution ACL 2018
Bridging Languages through Images with Deep Partial Canonical Correlation Analysis ACL 2018
Taylor’s law for Human Linguistic Sequences ACL 2018