Stochastic Methods

Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain AISTATS 2019 Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the $O(1/T)$ Convergence Rate COLT 2019 Stochastic Canonical Correlation Analysis JMLR 2019 Stochastic Constraint Propagation for Mining Probabilistic Networks IJCAI 2019 Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions COLT 2019 Stochastic Frank-Wolfe for Composite Convex Minimization NeurIPS 2019 Stochastic Goal Recognition Design AAAI 2019 Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction NeurIPS 2019 Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization ICML 2019 Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence ICML 2019 Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates NeurIPS 2019 Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond NeurIPS 2019 Stochastic Submodular Maximization with Performance-Dependent Item Costs AAAI 2019 Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization NeurIPS 2019 SySCD: A System-Aware Parallel Coordinate Descent Algorithm NeurIPS 2019 Testing Symmetric Markov Chains Without Hitting COLT 2019 The Complexity of Making the Gradient Small in Stochastic Convex Optimization COLT 2019 The Implicit Metropolis-Hastings Algorithm NeurIPS 2019 The Kelly Growth Optimal Portfolio with Ensemble Learning AAAI 2019 The Randomized Midpoint Method for Log-Concave Sampling NeurIPS 2019 Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging NeurIPS 2019 Thinning for Accelerating the Learning of Point Processes NeurIPS 2019 Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems JMLR 2019 Thompson Sampling on Symmetric Alpha-Stable Bandits IJCAI 2019 Tight analyses for non-smooth stochastic gradient descent COLT 2019