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Stochastic Methods

1,118 papers

Papers per year

2
18
33
106
45
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'25

Papers

Contextual Stochastic Optimization for School Desegregation Policymaking AAAI 2025
Understanding Silent Data Corruption in LLM Training ACL 2025
TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency ACL 2025
Relevance Scores Calibration for Ranked List Truncation via TMP Adapter ACL 2025
Cautious Next Token Prediction ACL 2025
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits ACL 2025
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory CVPR 2025
EVOS: Efficient Implicit Neural Training via EVOlutionary Selector CVPR 2025
Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training CVPR 2025
MUZO: Leveraging Multiple Queries and Momentum for Zeroth-Order Fine-Tuning of Large Language Models EMNLP 2025
Analyzing and Modeling LLM Response Lengths with Extreme Value Theory: Anchoring Effects and Hybrid Distributions EMNLP 2025
Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding EMNLP 2025
Accelerating Diffusion Sampling via Exploiting Local Transition Coherence ICCV 2025
3D Test-time Adaptation via Graph Spectral Driven Point Shift ICCV 2025
SIFAR: A Simple Faster Accelerated Variance-Reduced Gradient Method IJCAI 2025
Stability and Generalization for Stochastic (Compositional) Optimizations IJCAI 2025
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback JMLR 2025
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming JMLR 2025
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning JMLR 2025
On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations JMLR 2025
Statistical field theory for Markov decision processes under uncertainty JMLR 2025
On the O(sqrt(d)/T^(1/4)) Convergence Rate of RMSProp and Its Momentum Extension Measured by l_1 Norm JMLR 2025
Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration JMLR 2025
Geodesic Slice Sampling on the Sphere JMLR 2025
On the Vulnerability of Text Sanitization NAACL 2025