Stochastic Methods
2,991 papers
Papers per year
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Papers
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization
AISTATS 2024
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
NeurIPS 2024
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization
JMLR 2024
An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms
IJCAI 2024
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
ICML 2024
An Effective Dynamic Gradient Calibration Method for Continual Learning
ICML 2024
An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations
NeurIPS 2024
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
AISTATS 2024
A New Guaranteed Outlier Removal Method Based on Plane Constraints for Large-Scale LiDAR Point Cloud Registration
IJCAI 2024
An Improved Algorithm for Learning Drifting Discrete Distributions
AISTATS 2024
An invariant information geometric method for high-dimensional online optimization
L4DC 2024
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
NeurIPS 2024
A non-backtracking method for long matrix and tensor completion
COLT 2024
An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
ICML 2024
Approximate Integer Solution Counts over Linear Arithmetic Constraints
AAAI 2024
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
NeurIPS 2024
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms
AISTATS 2024
A Survey on Multi-player Bandits
JMLR 2024
Asynchronous Randomized Trace Estimation
AISTATS 2024
Bandit Pareto Set Identification: the Fixed Budget Setting
AISTATS 2024
Barely Random Algorithms and Collective Metrical Task Systems
NeurIPS 2024
Batched Energy-Entropy acquisition for Bayesian Optimization
NeurIPS 2024
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal
NeurIPS 2024
Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization
ICML 2024
Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process
ICML 2024