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← Optimization & Theory
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Optimization & Theory
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Stochastic Processes
2667 directly classified papers
Papers per year
2003: 4
2004: 1
2005: 2
2006: 9
2007: 11
2008: 17
2009: 18
2010: 30
2011: 36
2012: 37
2013: 50
2014: 56
2015: 60
2016: 77
2017: 132
2018: 154
2019: 211
2020: 244
2021: 311
2022: 279
2023: 376
2024: 326
2025: 157
2026: 69
Papers
Detecting Adversarial Data Using Perturbation Forgery
CVPR 2025
ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models
EMNLP 2025
State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecasting
IJCAI 2025
Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics
IJCAI 2025
FastMCTS: A Simple Sampling Strategy for Data Synthesis
ACL 2025
Uncertainty-driven Partial Diacritization for Arabic Text
EMNLP 2025
Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation
AAAI 2025
Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model
CVPR 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
CVPR 2025
Perturb-and-Revise: Flexible 3D Editing with Generative Trajectories
CVPR 2025
A Proactive Reliability Metric for Detecting Failures in Language Model Training
EMNLP 2025
Length Controlled Generation for Black-box LLMs
ACL 2025
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks
CVPR 2025
Retrieval-Augmented Forecasting with Tabular Time Series Data
ACL 2025
Beyond cognacy
ACL 2025
Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operator
IJCAI 2025
Analyzing and Modeling LLM Response Lengths with Extreme Value Theory: Anchoring Effects and Hybrid Distributions
EMNLP 2025
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
ACL 2025
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming
JMLR 2025
Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles
ACL 2025
Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models
EMNLP 2025
Who leads? Who follows? Temporal dynamics of political dogwhistles in Swedish online communities
ACL 2025
Delay as Payoff in MAB
AAAI 2025
Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction
IJCNLP 2025
Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models
AACL 2025
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