Stochastic Methods

Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret COLT 2019 Generalized Majorization-Minimization for Non-Convex Optimization IJCAI 2019 Generalized Score Matching for Non-Negative Data JMLR 2019 General parallel optimization a without metric ALT 2019 General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme NeurIPS 2019 GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver ICML 2019 Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication AISTATS 2019 Heavy-ball Algorithms Always Escape Saddle Points IJCAI 2019 High Dimensional Bayesian Optimization via Supervised Dimension Reduction IJCAI 2019 High-Dimensional Optimization in Adaptive Random Subspaces NeurIPS 2019 Highly Parallelized Data-Driven MPC for Minimal Intervention Shared Control RSS 2019 Hiring Under Uncertainty ICML 2019 How to Tame Your Anticipatory Algorithm IJCAI 2019 Identifying vulnerabilities in trust and reputation systems IJCAI 2019 Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization ICML 2019 Integrating Pseudo-Boolean Constraint Reasoning in Multi-Objective Evolutionary Algorithms IJCAI 2019 Interpolated Spectral NGram Language Models ACL 2019 Inverse Path Tracing for Joint Material and Lighting Estimation CVPR 2019 Iterative Budgeted Exponential Search IJCAI 2019 Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators ACML 2019 Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration NeurIPS 2019 Learning Adaptive Random Features AAAI 2019 Learning Dynamic Generator Model by Alternating Back-Propagation through Time AAAI 2019 Learning Hawkes Processes from a handful of events NeurIPS 2019 Learning Ising Models with Independent Failures COLT 2019