Probability

Generalized Pseudolikelihood Methods for Inverse Covariance Estimation AISTATS 2017 Geometry of Neural Network Loss Surfaces via Random Matrix Theory ICML 2017 Group-Wise Point-Set Registration Based on Renyi's Second Order Entropy CVPR 2017 Hit-and-Run for Sampling and Planning in Non-Convex Spaces AISTATS 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 Inverse Filtering for Hidden Markov Models NeurIPS 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 Populations of Parameters NeurIPS 2017 Magnetic Hamiltonian Monte Carlo ICML 2017 Memoryless Sequences for Differentiable Losses COLT 2017 Metrics for Modeling Code-Switching Across Corpora Interspeech 2017 Minimax Estimation of Kernel Mean Embeddings JMLR 2017 MMN Responses in Adults After Exposure to Bimodal and Unimodal Frequency Distributions of Rotated Speech Interspeech 2017 On the Complexity of Learning from Label Proportions IJCAI 2017 Optimal and Adaptive Off-policy Evaluation in Contextual Bandits ICML 2017 Order Statistics for Probabilistic Graphical Models IJCAI 2017 Parameter identification in Markov chain choice models ALT 2017 Pareto Optimal Allocation under Uncertain Preferences IJCAI 2017 Phase Transitions in the Pooled Data Problem NeurIPS 2017 Pitch Convergence as an Effect of Perceived Attractiveness and Likability Interspeech 2017 Plato's Cave in the Dempster-Shafer land--the Link between Pignistic and Plausibility Transformations IJCAI 2017 Poisson intensity estimation with reproducing kernels AISTATS 2017 Quantifying the accuracy of approximate diffusions and Markov chains AISTATS 2017