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Stochastic Methods

1,118 papers

Papers per year

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Papers

Exploring Hybrid Sampling Inference for Aspect-based Sentiment Analysis NAACL 2025
ThoughtSculpt: Reasoning with Intermediate Revision and Search NAACL 2025
Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods NAACL 2025
Flow Matching Ergodic Coverage RSS 2025
SPO: Sequential Monte Carlo Policy Optimisation NIPS 2024
Reciprocal Learning NIPS 2024
Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity NIPS 2024
Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis NIPS 2024
Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss NIPS 2024
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD NIPS 2024
Fully Unconstrained Online Learning NIPS 2024
Interaction-Force Transport Gradient Flows NIPS 2024
Ordered Momentum for Asynchronous SGD NIPS 2024
Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features NIPS 2024
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions NIPS 2024
Ensemble sampling for linear bandits: small ensembles suffice NIPS 2024
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training NIPS 2024
Global Rewards in Restless Multi-Armed Bandits NIPS 2024
Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions NIPS 2024
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NIPS 2024
Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction NIPS 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces NIPS 2024
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models NIPS 2024
Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals NIPS 2024
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction NIPS 2024