Stochastic Processes

Variational Inference with Normalizing Flows ICML 2015 When are Kalman-Filter Restless Bandits Indexable? NeurIPS 2015 A Compilation Target for Probabilistic Programming Languages ICML 2014 Admixture of Poisson MRFs: A Topic Model with Word Dependencies ICML 2014 An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy ICML 2014 Approximate Policy Iteration Schemes: A Comparison ICML 2014 Articulated Pose Estimation via Over-parametrization and Noise Projection RSS 2014 A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment NeurIPS 2014 Asynchronous Anytime Sequential Monte Carlo NeurIPS 2014 Automated Variational Inference for Gaussian Process Models NeurIPS 2014 Bayesian Switching Interaction Analysis Under Uncertainty AISTATS 2014 Deep Generative Stochastic Networks Trainable by Backprop ICML 2014 Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes ICML 2014 Discovering Latent Network Structure in Point Process Data ICML 2014 Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data JMLR 2014 Efficient Nonlinear Markov Models for Human Motion CVPR 2014 Explicit Link Between Periodic Covariance Functions and State Space Models AISTATS 2014 Fast Sampling-Based Inference in Balanced Neuronal Networks NeurIPS 2014 Filtering with Abstract Particles ICML 2014 Gaussian Approximation of Collective Graphical Models ICML 2014 Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NeurIPS 2014 High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation AISTATS 2014 Interval Tracker: Tracking by Interval Analysis CVPR 2014 Kernel Adaptive Metropolis-Hastings ICML 2014 LAMORE: A Stable, Scalable Approach to Latent Vector Autoregressive Modeling of Categorical Time Series AISTATS 2014