Probability

Optimal prior-dependent neural population codes under shared input noise NeurIPS 2014 Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows ICML 2014 QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation JMLR 2014 Recovering Distributions from Gaussian RKHS Embeddings AISTATS 2014 Recursive Inversion Models for Permutations NeurIPS 2014 Spectral Learning of Mixture of Hidden Markov Models NeurIPS 2014 Spoofing Large Probability Mass Functions to Improve Sampling Times and Reduce Memory Costs AISTATS 2014 Stiction Compensation in Agonist-Antagonist Variable Stiffness Actuators RSS 2014 Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology NeurIPS 2014 Wasserstein Propagation for Semi-Supervised Learning ICML 2014 A Competitive Test for Uniformity of Monotone Distributions AISTATS 2013 A memory frontier for complex synapses NeurIPS 2013 Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators JMLR 2013 Average Reward Optimization Objective In Partially Observable Domains ICML 2013 Central Limit Theorems for Conditional Markov Chains AISTATS 2013 Computing the Stationary Distribution Locally NeurIPS 2013 Differential Privacy for Functions and Functional Data JMLR 2013 Distributions of Angles in Random Packing on Spheres JMLR 2013 Dynamic Scaled Sampling for Deterministic Constraints AISTATS 2013 Estimating the Unseen: Improved Estimators for Entropy and other Properties NeurIPS 2013 Evidence Estimation for Bayesian Partially Observed MRFs AISTATS 2013 Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NeurIPS 2013 Mean Reversion with a Variance Threshold ICML 2013 O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions ICML 2013 Optimal Neural Population Codes for High-dimensional Stimulus Variables NeurIPS 2013