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Stochastic Methods

2788 directly classified papers

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Papers

Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization AAAI 2020
Delay-Adaptive Distributed Stochastic Optimization AAAI 2020
The Method of Random Directions Optimization for Stereo Audio Source Separation INTERSPEECH 2020
Fast Markov chain Monte Carlo algorithms via Lie groups AISTATS 2020
Processing effort is a poor predictor of cross-linguistic word order frequency CONLL 2020
Projection & Probability-Driven Black-Box Attack CVPR 2020
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression CVPR 2020
CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images CVPR 2020
Smooth Shells: Multi-Scale Shape Registration With Functional Maps CVPR 2020
Mixed Strategies for Robust Optimization of Unknown Objectives AISTATS 2020
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction JMLR 2020
A Two-level Reinforcement Learning Algorithm for Ambiguous Mean-variance Portfolio Selection Problem IJCAI 2020
Is Big Data Performance Reproducible in Modern Cloud Networks? NSDI 2020
Consistent recovery threshold of hidden nearest neighbor graphs COLT 2020
Learning Augmented Energy Minimization via Speed Scaling NIPS 2020
Hitting the High Notes: Subset Selection for Maximizing Expected Order Statistics NIPS 2020
Stochastic Stein Discrepancies NIPS 2020
Random Reshuffling: Simple Analysis with Vast Improvements NIPS 2020
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling NIPS 2020
Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes NIPS 2020
Online Convex Optimization Over Erdos-Renyi Random Networks NIPS 2020
BOSS: Bayesian Optimization over String Spaces NIPS 2020
Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization NIPS 2020
Optimal Query Complexity of Secure Stochastic Convex Optimization NIPS 2020
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms NIPS 2020