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Stochastic Methods

2,788 papers

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Papers

Approximating the Permanent by Sampling from Adaptive Partitions NIPS 2019
Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD NIPS 2019
Pseudo-Extended Markov chain Monte Carlo NIPS 2019
On Differentially Private Graph Sparsification and Applications NIPS 2019
Efficient Convex Relaxations for Streaming PCA NIPS 2019
The Randomized Midpoint Method for Log-Concave Sampling NIPS 2019
Learning to Optimize in Swarms NIPS 2019
Exact sampling of determinantal point processes with sublinear time preprocessing NIPS 2019
Crawling the Community Structure of Multiplex Networks AAAI 2019
The Kelly Growth Optimal Portfolio with Ensemble Learning AAAI 2019
Stochastic Submodular Maximization with Performance-Dependent Item Costs AAAI 2019
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization AAAI 2019
Optimizing in the Dark: Learning an Optimal Solution through a Simple Request Interface AAAI 2019
Approximate Inference of Outcomes in Probabilistic Elections AAAI 2019
A Two-Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling Problem AAAI 2019
On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation AAAI 2019
Real-Time Planning as Decision-Making under Uncertainty AAAI 2019
Evolving Solutions to Community-Structured Satisfiability Formulas AAAI 2019
An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search AAAI 2019
Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019
Learning Adaptive Random Features AAAI 2019
Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis AAAI 2019
Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS) AAAI 2019
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting AAAI 2019
Learning Dynamic Generator Model by Alternating Back-Propagation through Time AAAI 2019