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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
›
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
On the Robustness of Bandit Multiple Testing
AAAI 2026
Modeling Trend Dynamics with Variational Neural ODEs for Information Popularity Prediction
AAAI 2026
Tree-Based Stochastic Optimization for Solving Large-Scale Urban Network Security Games
AAAI 2026
Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model
AAAI 2026
Physics-Informed Koopman Neural Estimation of the Heston Model from High-Frequency Observations
AAAI 2026
Emergent Fast-Slow Dynamics in Multi-Agent Q-Learning for Networked Stochastic Games
AAAI 2026
Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance
AAAI 2026
Streaming Generated Gaussian Process Experts for Online Learning and Control
AAAI 2026
Joint Modeling of Corruption-Driven and Information-Limited Uncertainty for Robust 3D Gaussian Splatting
WACV 2026
Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding
AAAI 2026
Variance Reduction via Resampling and Experience Replay
AAAI 2026
Statistical Foundations of DIME: Risk Estimation for Practical Index Selection
EACL 2026
Relative Advantage Debiasing for Watch-Time Prediction in Short-Video Recommendation
AAAI 2026
Martingale Foresight Sampling: A Principled Approach to Inference-Time LLM Decoding
EACL 2026
Runtime Safety and Reach-avoid Prediction of Stochastic Systems via Observation-aware Barrier Functions
AAAI 2026
Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks
AAAI 2026
Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models
AAAI 2026
Chronocept: Instilling a Sense of Time in Machines
EACL 2026
TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization
AAAI 2026
Entropy-Adaptive Diffusion Policy Optimization with Dynamic Step Alignment
ICCV 2025
ARIG: Autoregressive Interactive Head Generation for Real-time Conversations
ICCV 2025
Improving Noise Efficiency in Privacy-preserving Dataset Distillation
ICCV 2025
TensoFlow: Tensorial Flow-based Sampler for Inverse Rendering
CVPR 2025
Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model
CVPR 2025
Perturb-and-Revise: Flexible 3D Editing with Generative Trajectories
CVPR 2025
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