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Methodology
← Optimization
Mathematics & Optimization
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Optimization
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Stochastic Methods
2788 directly classified papers
Papers per year
2000: 1
2002: 2
2003: 5
2004: 1
2005: 2
2006: 10
2007: 13
2008: 16
2009: 15
2010: 23
2011: 33
2012: 43
2013: 69
2014: 77
2015: 82
2016: 112
2017: 144
2018: 173
2019: 265
2020: 292
2021: 316
2022: 314
2023: 353
2024: 307
2025: 98
2026: 22
Papers
Multi-Feedback Bandit Learning with Probabilistic Contexts
IJCAI 2020
Mutual Information Estimation using LSH Sampling
IJCAI 2020
Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints
IJCAI 2020
Learning and Solving Regular Decision Processes
IJCAI 2020
Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs
IJCAI 2020
Almost Group Envy-free Allocation of Indivisible Goods and Chores
IJCAI 2020
Semi-supervised New Event Type Induction and Event Detection
EMNLP 2020
Textual Data Augmentation for Efficient Active Learning on Tiny Datasets
EMNLP 2020
Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization
NIPS 2020
Neutralizing Self-Selection Bias in Sampling for Sortition
NIPS 2020
Integrals over Gaussians under Linear Domain Constraints
AISTATS 2020
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change
ACL 2020
On Importance Sampling-Based Evaluation of Latent Language Models
ACL 2020
Stochastic Approximate Gradient Descent via the Langevin Algorithm
AAAI 2020
D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems
AAAI 2020
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization
JMLR 2020
Scaling Hidden Markov Language Models
EMNLP 2020
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!
EMNLP 2020
Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach
EMNLP 2020
Imputing typological values via phylogenetic inference
EMNLP 2020
Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm
NIPS 2020
Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK
AAAI 2020
On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics
JMLR 2020
A Particle Swarm Based Algorithm for Functional Distributed Constraint Optimization Problems
AAAI 2020
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient
AAAI 2020
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