Stochastic Methods
2,991 papers
Papers per year
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Papers
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
ICML 2023
Contextual Combinatorial Bandits with Probabilistically Triggered Arms
ICML 2023
Contextual Gaussian Process Bandits with Neural Networks
NeurIPS 2023
Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions
COLT 2023
Coordinating Distributed Example Orders for Provably Accelerated Training
NeurIPS 2023
Correlation Aware Sparsified Mean Estimation Using Random Projection
NeurIPS 2023
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization
ICML 2023
DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization
ICML 2023
Dagster: Parallel Structured Search
AAAI 2023
DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization
AAAI 2023
Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances
NeurIPS 2023
Data Structures for Density Estimation
ICML 2023
Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence
NeurIPS 2023
Deep Momentum Multi-Marginal Schrödinger Bridge
NeurIPS 2023
Delay-agnostic Asynchronous Coordinate Update Algorithm
ICML 2023
Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization
NeurIPS 2023
Delayed Feedback in Kernel Bandits
ICML 2023
Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap
COLT 2023
Differentially Private Partial Set Cover with Applications to Facility Location
IJCAI 2023
Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited
UAI 2023
Differentially Private Stochastic Convex Optimization under a Quantile Loss Function
ICML 2023
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling
JMLR 2023
Dimensionality Reduction for General KDE Mode Finding
ICML 2023
Discrete Langevin Samplers via Wasserstein Gradient Flow
AISTATS 2023
DISCS: A Benchmark for Discrete Sampling
NeurIPS 2023