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Bayesian Inference

5,566 papers

Papers per year

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100
176
522
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Papers

Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling NIPS 2015
A Gaussian Process Model of Quasar Spectral Energy Distributions NIPS 2015
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings NIPS 2015
Probabilistic Line Searches for Stochastic Optimization NIPS 2015
Reflection, Refraction, and Hamiltonian Monte Carlo NIPS 2015
Learning structured densities via infinite dimensional exponential families NIPS 2015
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation NIPS 2015
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families NIPS 2015
Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels NIPS 2015
High-dimensional neural spike train analysis with generalized count linear dynamical systems NIPS 2015
Neural Adaptive Sequential Monte Carlo NIPS 2015
A Complete Recipe for Stochastic Gradient MCMC NIPS 2015
Expectation Particle Belief Propagation NIPS 2015
Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference NIPS 2015
Bayesian dark knowledge NIPS 2015
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NIPS 2015
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NIPS 2015
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width NIPS 2015
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees NIPS 2015
Tractable Learning for Complex Probability Queries NIPS 2015
Variational Dropout and the Local Reparameterization Trick NIPS 2015
Finite-Time Analysis of Projected Langevin Monte Carlo NIPS 2015
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models NIPS 2015
Bounding errors of Expectation-Propagation NIPS 2015
Deep Poisson Factor Modeling NIPS 2015