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Stochastic Methods

2788 directly classified papers

Papers per year

Papers

MCMLSD: A Dynamic Programming Approach to Line Segment Detection CVPR 2017
FALKON: An Optimal Large Scale Kernel Method NIPS 2017
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization NIPS 2017
SCL: Simplifying Distributed SDN Control Planes NSDI 2017
Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information IJCAI 2017
Capacity Releasing Diffusion for Speed and Locality ICML 2017
Safe Adaptive Importance Sampling NIPS 2017
Conditional Accelerated Lazy Stochastic Gradient Descent ICML 2017
Provably Safe Robot Navigation with Obstacle Uncertainty RSS 2017
Resilient Control and Safety for Multi-Agent Cyber-Physical Systems IJCAI 2017
Second-Order Stochastic Optimization for Machine Learning in Linear Time JMLR 2017
Efficient Sampling from Time-Varying Log-Concave Distributions JMLR 2017
A survey of Algorithms and Analysis for Adaptive Online Learning JMLR 2017
Recovering PCA and Sparse PCA via Hybrid-(l1,l2) Sparse Sampling of Data Elements JMLR 2017
Robust Guarantees of Stochastic Greedy Algorithms ICML 2017
Nonlinear Acceleration of Stochastic Algorithms NIPS 2017
Dueling Bandits with Weak Regret ICML 2017
Straggler Mitigation in Distributed Optimization Through Data Encoding NIPS 2017
Recursive Sampling for the Nystrom Method NIPS 2017
Multiscale Quantization for Fast Similarity Search NIPS 2017
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NIPS 2017
A Scale Free Algorithm for Stochastic Bandits with Bounded Kurtosis NIPS 2017
Phase Transitions in the Pooled Data Problem NIPS 2017
Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox COLT 2017
Simple strategies for recovering inner products from coarsely quantized random projections NIPS 2017