Statistical Learning

Convergence rates of a partition based Bayesian multivariate density estimation method NeurIPS 2017 Dealing with Range Anxiety in Mean Estimation via Statistical Queries ALT 2017 Deep IV: A Flexible Approach for Counterfactual Prediction ICML 2017 Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction ICML 2017 Density Estimation in Infinite Dimensional Exponential Families JMLR 2017 Differentially Private Chi-squared Test by Unit Circle Mechanism ICML 2017 Discovering Potential Correlations via Hypercontractivity NeurIPS 2017 Distributed Learning with Regularized Least Squares JMLR 2017 Early stopping for kernel boosting algorithms: A general analysis with localized complexities NeurIPS 2017 Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent AISTATS 2017 Efficient Kernel Selection via Spectral Analysis IJCAI 2017 Empirical Risk Minimization for Stochastic Convex Optimization: $O(1/n)$- and $O(1/n^2)$-type of Risk Bounds COLT 2017 Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein’s Lemma NeurIPS 2017 Estimating the unseen from multiple populations ICML 2017 Estimation of the covariance structure of heavy-tailed distributions NeurIPS 2017 Expectation Propagation for t-Exponential Family Using q-Algebra NeurIPS 2017 Exploiting Intra-Annotator Rating Consistency Through Copeland’s Method for Estimation of Ground Truth Labels in Couples’ Therapy Interspeech 2017 FALKON: An Optimal Large Scale Kernel Method NeurIPS 2017 Fast Rates for Empirical Risk Minimization of Strict Saddle Problems COLT 2017 Fast rates with high probability in exp-concave statistical learning AISTATS 2017 Feature Selection Based on CQCCs for Automatic Speaker Verification Spoofing Interspeech 2017 Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting NeurIPS 2017 Fisher Consistency for Prior Probability Shift JMLR 2017 Further Results on Predicting Cognitive Abilities for Adaptive Visualizations IJCAI 2017 Generalization Properties of Learning with Random Features NeurIPS 2017