Statistical Learning

Investigation of Speed-Accuracy Tradeoffs in Speech Production Using Real-Time Magnetic Resonance Imaging Interspeech 2016 Kronecker Determinantal Point Processes NeurIPS 2016 L2 Acquisition and Production of the English Rhotic Pharyngeal Gesture Interspeech 2016 Learnability of Non-I.I.D. ACML 2016 Learning Additive Exponential Family Graphical Models via ℓ_2,1-norm Regularized M-Estimation NeurIPS 2016 Learning and Forecasting Opinion Dynamics in Social Networks NeurIPS 2016 Learning and Testing Junta Distributions COLT 2016 Learning Communities in the Presence of Errors COLT 2016 Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers ACML 2016 Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices NeurIPS 2016 Learning Kernels with Random Features NeurIPS 2016 Learning Mixtures of Plackett-Luce Models ICML 2016 Learning Theory for Distribution Regression JMLR 2016 Likelihood Ratio Calculation in Acoustic-Phonetic Forensic Voice Comparison: Comparison of Three Statistical Modelling Approaches Interspeech 2016 Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences NeurIPS 2016 Loss Bounds and Time Complexity for Speed Priors AISTATS 2016 Loss Minimization and Parameter Estimation with Heavy Tails JMLR 2016 Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models AISTATS 2016 Measuring Dependence Powerfully and Equitably JMLR 2016 Memory, Communication, and Statistical Queries COLT 2016 Microscopic Multilingual Matrix Test Predictions Using an ASR-Based Speech Recognition Model Interspeech 2016 Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels NeurIPS 2016 Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning NeurIPS 2016 Minimax Rates in Permutation Estimation for Feature Matching JMLR 2016 Model-free Variable Selection in Reproducing Kernel Hilbert Space JMLR 2016