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Statistical Learning

4,117 papers

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Papers

Learning Multivariate Log-concave Distributions COLT 2017
ZigZag: A New Approach to Adaptive Online Learning COLT 2017
Fast Rates for Empirical Risk Minimization of Strict Saddle Problems COLT 2017
The Hidden Hubs Problem COLT 2017
Predicting with Distributions COLT 2017
Robust and Proper Learning for Mixtures of Gaussians via Systems of Polynomial Inequalities COLT 2017
Noisy Population Recovery from Unknown Noise COLT 2017
Sample complexity of population recovery COLT 2017
Empirical Risk Minimization for Stochastic Convex Optimization: $O(1/n)$- and $O(1/n^2)$-type of Risk Bounds COLT 2017
Optimal learning via local entropies and sample compression COLT 2017
Rational Distortions of Learners’ Linguistic Input CONLL 2017
Robust Joint and Individual Variance Explained CVPR 2017
Comparing Character-level Neural Language Models Using a Lexical Decision Task EACL 2017
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging EMNLP 2017
Importance sampling for unbiased on-demand evaluation of knowledge base population EMNLP 2017
A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions ICML 2017
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees ICML 2017
Uniform Deviation Bounds for k-Means Clustering ICML 2017
Robust Structured Estimation with Single-Index Models ICML 2017
Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables ICML 2017
Consistency Analysis for Binary Classification Revisited ICML 2017
Being Robust (in High Dimensions) Can Be Practical ICML 2017
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening ICML 2017
Deep IV: A Flexible Approach for Counterfactual Prediction ICML 2017
An Adaptive Test of Independence with Analytic Kernel Embeddings ICML 2017