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Stochastic Methods

2788 directly classified papers

Papers per year

Papers

Bandit Submodular Maximization for Multi-Robot Coordination in Unpredictable and Partially Observable Environments RSS 2023
A principled framework for the design and analysis of token algorithms AISTATS 2023
Compress Then Test: Powerful Kernel Testing in Near-linear Time AISTATS 2023
Moments, Random Walks, and Limits for Spectrum Approximation COLT 2023
A Second-Order Method for Stochastic Bandit Convex Optimisation COLT 2023
Learning Hidden Markov Models Using Conditional Samples COLT 2023
Graph Attention Retrospective JMLR 2023
RADIUS: Risk-Aware, Real-Time, Reachability-Based Motion Planning RSS 2023
Improved Discretization Analysis for Underdamped Langevin Monte Carlo COLT 2023
Regularized online DR-submodular optimization UAI 2023
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling JMLR 2023
Robust Quickest Change Detection for Unnormalized Models UAI 2023
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond ICML 2023
A Bayesian approach for bandit online optimization with switching cost UAI 2023
Efficient displacement convex optimization with particle gradient descent ICML 2023
Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited UAI 2023
Subset-Based Instance Optimality in Private Estimation ICML 2023
Differentially Private Stochastic Convex Optimization under a Quantile Loss Function ICML 2023
Meta-learning Control Variates: Variance Reduction with Limited Data UAI 2023
DOTE: Rethinking (Predictive) WAN Traffic Engineering NSDI 2023
Understanding the impact of host networking elements on traffic bursts NSDI 2023
GANs as Gradient Flows that Converge JMLR 2023
Heavy-tailed linear bandit with Huber regression UAI 2023
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start JMLR 2023
Split, count, and share: a differentially private set intersection cardinality estimation protocol UAI 2023