Probability

Geodesic Exponential Kernels: When Curvature and Linearity Conflict CVPR 2015 Human Memory Search as Initial-Visit Emitting Random Walk NeurIPS 2015 Improved Sum-of-Squares Lower Bounds for Hidden Clique and Hidden Submatrix Problems COLT 2015 Learning structured densities via infinite dimensional exponential families NeurIPS 2015 Nested Sequential Monte Carlo Methods ICML 2015 On the Accuracy of Self-Normalized Log-Linear Models NeurIPS 2015 On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank-One Perturbations of Gaussian Tensors NeurIPS 2015 Particle Gibbs with Ancestor Sampling for Probabilistic Programs AISTATS 2015 Preferential Attachment in Graphs with Affinities AISTATS 2015 Principal Differences Analysis: Interpretable Characterization of Differences between Distributions NeurIPS 2015 Probabilistic Variational Bounds for Graphical Models NeurIPS 2015 Spectral Learning of Large Structured HMMs for Comparative Epigenomics NeurIPS 2015 Strong Consistency of the Prototype Based Clustering in Probabilistic Space JMLR 2015 Symmetric Iterative Proportional Fitting AISTATS 2015 Testing Closeness With Unequal Sized Samples NeurIPS 2015 The Loss Surfaces of Multilayer Networks AISTATS 2015 Theoretical Limits of Speed and Resolution for Kinodynamic Planning in a Poisson Forest RSS 2015 Towards an Axiomatic Approach to Hierarchical Clustering of Measures JMLR 2015 Adaptive Monte Carlo via Bandit Allocation ICML 2014 Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process ICML 2014 A Representation Theory for Ranking Functions NeurIPS 2014 A* Sampling NeurIPS 2014 A Statistical Model for Event Sequence Data AISTATS 2014 A Tensor Approach to Learning Mixed Membership Community Models JMLR 2014 Bridging Viterbi and Posterior Decoding: A Generalized Risk Approach to Hidden Path Inference Based on Hidden Markov Models JMLR 2014