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Stochastic Methods

1077 directly classified papers

Papers per year

Papers

Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness ICML 2022
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization AAAI 2022
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds AAAI 2022
Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition NIPS 2022
Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling JMLR 2022
Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits JMLR 2022
Asymptotic Study of Stochastic Adaptive Algorithms in Non-convex Landscape JMLR 2022
Online Competitive Influence Maximization AISTATS 2022
Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration JMLR 2022
Efficient Variance Reduction for Meta-learning ICML 2022
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability NIPS 2022
Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method IJCAI 2022
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation AAAI 2022
Improved Pure Exploration in Linear Bandits with No-Regret Learning IJCAI 2022
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations IJCAI 2022
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization IJCAI 2022
An Efficient Sampling Algorithm for Non-smooth Composite Potentials JMLR 2022
Toward More Effective Human Evaluation for Machine Translation ACL 2022
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks NIPS 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities NIPS 2022
Convex Analysis of the Mean Field Langevin Dynamics AISTATS 2022
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising NIPS 2022
Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective NIPS 2022
Residual-Based Sampling for Online Outlier-Robust PCA ICML 2022
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance ICML 2022