Bayesian & Probabilistic

Fast Bidirectional Probability Estimation in Markov Models NeurIPS 2015 Fast Classification Rates for High-dimensional Gaussian Generative Models NeurIPS 2015 Fast Lifted MAP Inference via Partitioning NeurIPS 2015 Fast Second Order Stochastic Backpropagation for Variational Inference NeurIPS 2015 Finite-Time Analysis of Projected Langevin Monte Carlo NeurIPS 2015 Fixed-point algorithms for learning determinantal point processes ICML 2015 Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees NeurIPS 2015 Gaussian Process Random Fields NeurIPS 2015 GP Kernels for Cross-Spectrum Analysis NeurIPS 2015 Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families NeurIPS 2015 High-dimensional neural spike train analysis with generalized count linear dynamical systems NeurIPS 2015 Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction CVPR 2015 Indoor Scene Structure Analysis for Single Image Depth Estimation CVPR 2015 Inference for determinantal point processes without spectral knowledge NeurIPS 2015 Inference in a Partially Observed Queuing Model with Applications in Ecology ICML 2015 Infinite Factorial Dynamical Model NeurIPS 2015 Inverse Reinforcement Learning with Locally Consistent Reward Functions NeurIPS 2015 Joint Probabilistic Data Association Revisited ICCV 2015 Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) ICML 2015 Kullback-Leibler Proximal Variational Inference NeurIPS 2015 Landmarking Manifolds with Gaussian Processes ICML 2015 Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings NeurIPS 2015 Large-scale log-determinant computation through stochastic Chebyshev expansions ICML 2015 Large-scale probabilistic predictors with and without guarantees of validity NeurIPS 2015 Latent Bayesian melding for integrating individual and population models NeurIPS 2015