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Stochastic Methods

2788 directly classified papers

Papers per year

Papers

Efficient Pure Exploration in Adaptive Round model NIPS 2019
Linear Stochastic Bandits Under Safety Constraints NIPS 2019
State Aggregation Learning from Markov Transition Data NIPS 2019
Efficient Convex Relaxations for Streaming PCA NIPS 2019
Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD NIPS 2019
Beyond Volumetric Albedo -- A Surface Optimization Framework for Non-Line-Of-Sight Imaging CVPR 2019
RSN: Randomized Subspace Newton NIPS 2019
On the convergence of single-call stochastic extra-gradient methods NIPS 2019
Interpolated Spectral NGram Language Models ACL 2019
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret COLT 2019
Minimal Variance Sampling in Stochastic Gradient Boosting NIPS 2019
A minimax near-optimal algorithm for adaptive rejection sampling ALT 2019
The Implicit Metropolis-Hastings Algorithm NIPS 2019
General parallel optimization a without metric ALT 2019
A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal and Parameter-free COLT 2019
Elliptical Perturbations for Differential Privacy NIPS 2019
A Stochastic Composite Gradient Method with Incremental Variance Reduction NIPS 2019
Testing Symmetric Markov Chains Without Hitting COLT 2019
Batched Multi-armed Bandits Problem NIPS 2019
Statistical-Computational Tradeoff in Single Index Models NIPS 2019
Constraint Solving and Optimization Using Evolutionary Techniques IJCAI 2019
Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves NIPS 2019
Sinkhorn AutoEncoders UAI 2019
Reducing the variance in online optimization by transporting past gradients NIPS 2019
Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms NIPS 2019