Bayesian Inference

Factor Graph Grammars NeurIPS 2020 Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series AAAI 2020 Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination JMLR 2020 Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev NeurIPS 2020 Fast Markov chain Monte Carlo algorithms via Lie groups AISTATS 2020 Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization NeurIPS 2020 Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients JMLR 2020 Fast Rates for General Unbounded Loss Functions: From ERM to Generalized Bayes JMLR 2020 f-Divergence Variational Inference NeurIPS 2020 Federated Bayesian Optimization via Thompson Sampling NeurIPS 2020 Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework AAAI 2020 Feedback graph regret bounds for Thompson Sampling and UCB ALT 2020 Few-Shot Bayesian Imitation Learning with Logical Program Policies AAAI 2020 First-Order Bayesian Regret Analysis of Thompson Sampling ALT 2020 Fixed-confidence guarantees for Bayesian best-arm identification AISTATS 2020 Flexible Approximate Inference via Stratified Normalizing Flows UAI 2020 Flexible mean field variational inference using mixtures of non-overlapping exponential families NeurIPS 2020 Flexible Prior Elicitation via the Prior Predictive Distribution UAI 2020 Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise ICML 2020 Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel AAAI 2020 From Importance Sampling to Doubly Robust Policy Gradient ICML 2020 GaSPing for Utility AAAI 2020 Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective NeurIPS 2020 General Control Functions for Causal Effect Estimation from IVs NeurIPS 2020 Generalised Bayesian Filtering via Sequential Monte Carlo NeurIPS 2020