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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Stochastic Methods
1077 directly classified papers
Papers per year
2005: 2
2006: 5
2007: 7
2008: 12
2009: 6
2010: 18
2011: 18
2012: 29
2013: 28
2014: 38
2015: 33
2016: 37
2017: 44
2018: 58
2019: 78
2020: 102
2021: 117
2022: 126
2023: 117
2024: 156
2025: 43
2026: 3
Papers
Leveraging Sparsity for Privacy in Collaborative Inference
WACV 2026
Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges
AAAI 2026
Bandit Learning in Housing Markets
AAAI 2026
Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence
AAAI 2025
Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding
EMNLP 2025
AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent
AAAI 2025
Boosting Test Performance with Importance Sampling--a Subpopulation Perspective
AAAI 2025
Exploring Hybrid Sampling Inference for Aspect-based Sentiment Analysis
NAACL 2025
3D Test-time Adaptation via Graph Spectral Driven Point Shift
ICCV 2025
Offline-to-Online Hyperparameter Transfer for Stochastic Bandits
AAAI 2025
Faster Double Adaptive Gradient Methods
AAAI 2025
Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent
AAAI 2025
Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology
AAAI 2025
Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent
AAAI 2025
On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations
JMLR 2025
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
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
Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods
NAACL 2025
Accelerating Diffusion Sampling via Exploiting Local Transition Coherence
ICCV 2025
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits
ACL 2025
Forecasting Competitions with Correlated Events
AAAI 2025
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning
JMLR 2025
Contextual Stochastic Optimization for School Desegregation Policymaking
AAAI 2025
ThoughtSculpt: Reasoning with Intermediate Revision and Search
NAACL 2025
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