Stochastic Methods

Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes AAAI 2020 Revisiting Stochastic Extragradient AISTATS 2020 RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization AAAI 2020 Robust, Accurate Stochastic Optimization for Variational Inference NeurIPS 2020 Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization NeurIPS 2020 Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time NeurIPS 2020 Robust Gradient-Based Markov Subsampling AAAI 2020 Robust Low-Rank Discovery of Data-Driven Partial Differential Equations AAAI 2020 Robustness Computation of Dynamic Controllability in Probabilistic Temporal Networks with Ordinary Distributions IJCAI 2020 Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs CoRL 2020 Sample Complexity of Kalman Filtering for Unknown Systems L4DC 2020 Sampling Random Chordal Graphs by MCMC (Student Abstract) AAAI 2020 Sampling Without Compromising Accuracy in Adaptive Data Analysis ALT 2020 Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusion RSS 2020 Scalable Approximate MCMC Algorithms for the Horseshoe Prior JMLR 2020 Scalable Nonparametric Factorization for High-Order Interaction Events AISTATS 2020 Scaling Hidden Markov Language Models EMNLP 2020 Scaling Up AND/OR Abstraction Sampling IJCAI 2020 Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing ICML 2020 Second-Order Information in Non-Convex Stochastic Optimization: Power and Limitations COLT 2020 Semantic Matching for Sequence-to-Sequence Learning EMNLP 2020 Semi-supervised New Event Type Induction and Event Detection EMNLP 2020 Smooth Shells: Multi-Scale Shape Registration With Functional Maps CVPR 2020 Spatial Resolution of Early Reflection for Speech and White Noise Interspeech 2020 Spectral bandits JMLR 2020