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Stochastic Methods

2788 directly classified papers

Papers per year

Papers

Open Loop Execution of Tree-Search Algorithms IJCAI 2018
Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models IJCAI 2018
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization IJCAI 2018
Finding Frequent Entities in Continuous Data IJCAI 2018
On the Efficiency of Data Collection for Crowdsourced Classification IJCAI 2018
Methods for off-line/on-line optimization under uncertainty IJCAI 2018
Integrating Demand Response and Renewable Energy In Wholesale Market IJCAI 2018
Gradient Estimation with Simultaneous Perturbation and Compressive Sensing JMLR 2018
Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees RSS 2018
On Coresets for Logistic Regression NIPS 2018
Kernel Density Estimation for Dynamical Systems JMLR 2018
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC NIPS 2018
Efficient Online Portfolio with Logarithmic Regret NIPS 2018
Inferring Networks From Random Walk-Based Node Similarities NIPS 2018
Optimistic optimization of a Brownian NIPS 2018
The Convergence of Sparsified Gradient Methods NIPS 2018
Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks NIPS 2018
Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation NIPS 2018
Third-order Smoothness Helps: Faster Stochastic Optimization Algorithms for Finding Local Minima NIPS 2018
Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions ICML 2018
Stochastic Zeroth-order Optimization in High Dimensions AISTATS 2018
ASVRG: Accelerated Proximal SVRG ACML 2018
Asynchronous Doubly Stochastic Group Regularized Learning AISTATS 2018
Natasha 2: Faster Non-Convex Optimization Than SGD NIPS 2018
Mirrored Langevin Dynamics NIPS 2018