Mathematics

High Dimensional Regression with Binary Coefficients. Estimating Squared Error and a Phase Transtition COLT 2017 High-Dimensional Structured Quantile Regression ICML 2017 Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods NeurIPS 2017 Hit-and-Run for Sampling and Planning in Non-Convex Spaces AISTATS 2017 Homogeneity Measure Impact on Target and Non-Target Trials in Forensic Voice Comparison Interspeech 2017 How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices? ICML 2017 Humans do not Maximize the Probability of Correct Decision When Recognizing DANTALE Words in Noise Interspeech 2017 Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables ICML 2017 Improved Graph Laplacian via Geometric Self-Consistency NeurIPS 2017 Information-theoretic analysis of generalization capability of learning algorithms NeurIPS 2017 Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications NeurIPS 2017 Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function ACL 2017 Integration Methods and Optimization Algorithms NeurIPS 2017 Inverse Covariance Estimation with Structured Groups IJCAI 2017 Inverse Filtering for Hidden Markov Models NeurIPS 2017 Is Input Sparsity Time Possible for Kernel Low-Rank Approximation? NeurIPS 2017 Kernel Feature Selection via Conditional Covariance Minimization NeurIPS 2017 k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms NeurIPS 2017 Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences NeurIPS 2017 Lazy-Grounding for Answer Set Programs with External Source Access IJCAI 2017 Learning a Ground Truth Ranking Using Noisy Approval Votes IJCAI 2017 Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes NeurIPS 2017 Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions AISTATS 2017 Learning Multivariate Log-concave Distributions COLT 2017 Learning Nonparametric Forest Graphical Models with Prior Information AISTATS 2017