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Stochastic Methods

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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