← Optimization
Mathematics & Optimization › Optimization ›

Stochastic Methods

2788 directly classified papers

Papers per year

Papers

Variance reduction in frequency estimators via control variates method UAI 2021
Matrix games with bandit feedback UAI 2021
Approximate implication with d-separation UAI 2021
LocalNewton: Reducing communication rounds for distributed learning UAI 2021
Stochastic Probing with Increasing Precision IJCAI 2021
Kernel Thinning COLT 2021
Convergence rates and approximation results for SGD and its continuous-time counterpart COLT 2021
Non-Parametric Stochastic Sequential Assignment With Random Arrival Times IJCAI 2021
Online Risk-Averse Submodular Maximization IJCAI 2021
On the Convergence of Stochastic Compositional Gradient Descent Ascent Method IJCAI 2021
Faster Guarantees of Evolutionary Algorithms for Maximization of Monotone Submodular Functions IJCAI 2021
Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA JMLR 2021
Generalized Kings and Single-Elimination Winners in Random Tournaments IJCAI 2021
Thompson Sampling for Bandits with Clustered Arms IJCAI 2021
Partition Function Estimation: A Quantitative Study IJCAI 2021
Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform ICCV 2021
Inference of Black Hole Fluid-Dynamics From Sparse Interferometric Measurements ICCV 2021
Stochastic Iterative Graph Matching ICML 2021
Analysis of stochastic Lanczos quadrature for spectrum approximation ICML 2021
First-Order Methods for Wasserstein Distributionally Robust MDP ICML 2021
On Estimation in Latent Variable Models ICML 2021
Multiplicative Noise and Heavy Tails in Stochastic Optimization ICML 2021
Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations ICML 2021
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting AAAI 2021
Stability and Generalization of Decentralized Stochastic Gradient Descent AAAI 2021