Statistical Learning

Generalized SURE for optimal shrinkage of singular values in low-rank matrix denoising JMLR 2017 Hierarchical Methods of Moments NeurIPS 2017 High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation ICML 2017 High-Dimensional Structured Quantile Regression ICML 2017 Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods NeurIPS 2017 Homogeneity Measure Impact on Target and Non-Target Trials in Forensic Voice Comparison Interspeech 2017 Humans do not Maximize the Probability of Correct Decision When Recognizing DANTALE Words in Noise Interspeech 2017 Hypotheses testing on infinite random graphs ALT 2017 Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables ICML 2017 Identifying a Minimal Class of Models for High--dimensional Data JMLR 2017 Identifying Best Interventions through Online Importance Sampling ICML 2017 Importance sampling for unbiased on-demand evaluation of knowledge base population EMNLP 2017 Independence clustering (without a matrix) NeurIPS 2017 Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles JMLR 2017 Inter-Speaker Variability: Speaker Normalisation and Quantitative Estimation of Articulatory Invariants in Speech Production for French Interspeech 2017 Introspective Evaluation of Perception Performance for Parameter Tuning without Ground Truth RSS 2017 Latent Feature Lasso ICML 2017 Learning a Ground Truth Ranking Using Noisy Approval Votes IJCAI 2017 Learning from Networked Examples ALT 2017 Learning Mixture of Gaussians with Streaming Data NeurIPS 2017 Learning Multivariate Log-concave Distributions COLT 2017 Learning Overcomplete HMMs NeurIPS 2017 Learning Theory for Conditional Risk Minimization AISTATS 2017 Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning NeurIPS 2017 Matrix Norm Estimation from a Few Entries NeurIPS 2017