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Stochastic Methods

2788 directly classified papers

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Papers

Escaping Saddle Points with Compressed SGD NIPS 2021
Revenue maximization via machine learning with noisy data NIPS 2021
Stochastic $L^\natural$-convex Function Minimization NIPS 2021
Optimal Sketching for Trace Estimation NIPS 2021
Dynamic Trace Estimation NIPS 2021
Oracle Complexity in Nonsmooth Nonconvex Optimization NIPS 2021
The Lazy Online Subgradient Algorithm is Universal on Strongly Convex Domains NIPS 2021
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization NIPS 2021
Approximating the Permanent with Deep Rejection Sampling NIPS 2021
Linear Bandits on Uniformly Convex Sets JMLR 2021
Fast Learning for Renewal Optimization in Online Task Scheduling JMLR 2021
Online stochastic gradient descent on non-convex losses from high-dimensional inference JMLR 2021
From Low Probability to High Confidence in Stochastic Convex Optimization JMLR 2021
A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling AISTATS 2021
Rearchitecting Linux Storage Stack for µs Latency and High Throughput OSDI 2021
Optimizing Storage Performance with Calibrated Interrupts OSDI 2021
The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization ACML 2021
Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types ACML 2021
Efficient Coreset Constructions via Sensitivity Sampling ACML 2021
Fast Rate Learning in Stochastic First Price Bidding ACML 2021
Regret-optimal measurement-feedback control L4DC 2021
Direct-Search for a Class of Stochastic Min-Max Problems AISTATS 2021
Sequential Random Sampling Revisited: Hidden Shuffle Method AISTATS 2021
vqSGD: Vector Quantized Stochastic Gradient Descent AISTATS 2021
Learning Complexity of Simulated Annealing AISTATS 2021