conftrace_

importance sampling

318 papers

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IS

Co-occurring keywords

off-policy evaluation (144) variational inference (2069) variance reduction (523) reinforcement learning (4352) markov chain monte carlo (725) bayesian inference (1907) stochastic optimization (1060) off-policy learning (228) monte carlo method (126) policy optimization (657)

Papers

Sublinear Time Orthogonal Tensor Decomposition NIPS 2016
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks NIPS 2016
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning ICML 2016
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning ICML 2016
Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares NIPS 2016
Semi-Supervised Training in Deep Learning Acoustic Model INTERSPEECH 2016
Structure Discovery in Bayesian Networks by Sampling Partial Orders JMLR 2016
Measuring the reliability of MCMC inference with bidirectional Monte Carlo NIPS 2016
Importance Sampling Tree for Large-scale Empirical Expectation ICML 2016
Partition Functions from Rao-Blackwellized Tempered Sampling ICML 2016
Importance Weighting Without Importance Weights: An Efficient Algorithm for Combinatorial Semi-Bandits JMLR 2016
Active Pointillistic Pattern Search AISTATS 2015
Bounding the Cost of Search-Based Lifted Inference NIPS 2015
Stochastic Optimization with Importance Sampling for Regularized Loss Minimization ICML 2015
Probabilistic Variational Bounds for Graphical Models NIPS 2015
Stochastic Dual Coordinate Ascent with Adaptive Probabilities ICML 2015
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback ICML 2015
Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling NIPS 2015
A Statistical Perspective on Algorithmic Leveraging JMLR 2015
Variance Reduction via Antithetic Markov Chains AISTATS 2015
A* Sampling NIPS 2014
Scaling-up Importance Sampling for Markov Logic Networks NIPS 2014
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm NIPS 2014
A Statistical Perspective on Algorithmic Leveraging ICML 2014
Instance-weighted Transfer Learning of Active Appearance Models CVPR 2014