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Methodology
← Optimization
Mathematics & Optimization
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Optimization
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Optimization
1203 directly classified papers
Papers per year
2001: 1
2005: 1
2006: 8
2007: 5
2008: 3
2009: 6
2010: 5
2011: 17
2012: 24
2013: 52
2014: 41
2015: 36
2016: 36
2017: 47
2018: 72
2019: 76
2020: 106
2021: 120
2022: 126
2023: 128
2024: 203
2025: 88
2026: 2
Papers
Continuation Path Learning for Homotopy Optimization
ICML 2023
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
ICML 2023
It’s MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk
EMNLP 2023
A Unified Framework for Optimization-Based Graph Coarsening
JMLR 2023
High Probability Convergence of Stochastic Gradient Methods
ICML 2023
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems
AAAI 2023
Stochastic Optimization under Distributional Drift
JMLR 2023
Diffusion Models Beat GANs on Topology Optimization
AAAI 2023
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition
JMLR 2023
Fundamental limits and algorithms for sparse linear regression with sublinear sparsity
JMLR 2023
End-to-End Learning for Optimization via Constraint-Enforcing Approximators
AAAI 2023
Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees
JMLR 2023
A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees
JMLR 2023
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks
AAAI 2023
Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams
AAAI 2023
Lower Bounds and Accelerated Algorithms for Bilevel Optimization
JMLR 2023
Self-Supervised Primal-Dual Learning for Constrained Optimization
AAAI 2023
Online Platforms and the Fair Exposure Problem under Homophily
AAAI 2023
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning
ICML 2023
Learning Fractals by Gradient Descent
AAAI 2023
Target-based Surrogates for Stochastic Optimization
ICML 2023
A Fully First-Order Method for Stochastic Bilevel Optimization
ICML 2023
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning
ICML 2023
Query-Aware Quantization for Maximum Inner Product Search
AAAI 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints
ICML 2023
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