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Stochastic Methods

2788 directly classified papers

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Papers

Asynchronous Randomized Trace Estimation AISTATS 2024
Pareto Smoothed Importance Sampling JMLR 2024
On the Connection between Lp- and Risk Consistency and its Implications on Regularized Kernel Methods JMLR 2024
Multimodal Representation Loss Between Timed Text and Audio for Regularized Speech Separation INTERSPEECH 2024
QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning AAAI 2024
Sparse Variational Student-t Processes AAAI 2024
Accurate Parameter Estimation for Safety-Critical Systems with Unmodeled Dynamics (Abstract Reprint) AAAI 2024
High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method JMLR 2024
Harvesting Memory-bound CPU Stall Cycles in Software with MSH OSDI 2024
ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing OSDI 2024
Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization AISTATS 2024
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024
Passengers' Safety Matters: Experiences of Deploying a Large-Scale Indoor Delivery Monitoring System NSDI 2024
Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs JMLR 2024
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence AISTATS 2024
Simulation-Free Schrödinger Bridges via Score and Flow Matching AISTATS 2024
Sharp analysis of power iteration for tensor PCA JMLR 2024
Sequential learning of the Pareto front for multi-objective bandits AISTATS 2024
Generate Synthetic Text Approximating the Private Distribution with Differential Privacy IJCAI 2024
Understanding Entropic Regularization in GANs JMLR 2024
Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints AISTATS 2024
The sample complexity of ERMs in stochastic convex optimization AISTATS 2024
An Improved Algorithm for Learning Drifting Discrete Distributions AISTATS 2024
Distributionally Robust Performative Prediction NIPS 2024
Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity NIPS 2024