conftrace_

posterior distribution

259 papers

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Co-occurring keywords

bayesian inference (1907) variational inference (2069) markov chain monte carlo (725) uncertainty quantification (1393) bayesian neural network (201) thompson sampling (237) gaussian process (1200) neural network (6616) kullback-leibler divergence (181) generative model (2892)

Papers

Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net NIPS 2018
The promises and pitfalls of Stochastic Gradient Langevin Dynamics NIPS 2018
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits NIPS 2018
Data-dependent PAC-Bayes priors via differential privacy NIPS 2018
The Uncertainty Bellman Equation and Exploration ICML 2018
The Hierarchical Adaptive Forgetting Variational Filter ICML 2018
A Bayesian Nonparametric View on Count-Min Sketch NIPS 2018
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning NIPS 2018
Transfer of Value Functions via Variational Methods NIPS 2018
Bayesian Nonparametric Spectral Estimation NIPS 2018
Bayesian Adversarial Learning NIPS 2018
A probabilistic population code based on neural samples NIPS 2018
Robust and Scalable Bayes via a Median of Subset Posterior Measures JMLR 2017
Probabilistic Path Hamiltonian Monte Carlo ICML 2017
Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models JMLR 2017
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness AISTATS 2017
Fast Fourier Color Constancy CVPR 2017
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach NIPS 2017
Linear Time Computation of Moments in Sum-Product Networks NIPS 2017
A Strongly Quasiconvex PAC-Bayesian Bound ALT 2017
On Markov chain Monte Carlo methods for tall data JMLR 2017
Stochastic Gradient Monomial Gamma Sampler ICML 2017
Introspective Evaluation of Perception Performance for Parameter Tuning without Ground Truth RSS 2017
Variational Inference via $\chi$ Upper Bound Minimization NIPS 2017
Ensemble Sampling NIPS 2017