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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
HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent
AISTATS 2023
Stochastic Optimization under Distributional Drift
JMLR 2023
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery
AISTATS 2023
Iterative Superquadric Recomposition of 3D Objects from Multiple Views
ICCV 2023
Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations
NIPS 2023
A Fast Algorithm for Computing Prefix Probabilities
ACL 2023
A Neural State-Space Modeling Approach to Efficient Speech Separation
INTERSPEECH 2023
Transformer-Based Learned Optimization
CVPR 2023
Chordal Averaging on Flag Manifolds and Its Applications
ICCV 2023
Lazy-k Decoding: Constrained Decoding for Information Extraction
EMNLP 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
NIPS 2023
Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution
CVPR 2023
SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization
CVPR 2023
A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs
JMLR 2023
Lower Bounds and Accelerated Algorithms for Bilevel Optimization
JMLR 2023
Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems
AISTATS 2023
Neural Simulated Annealing
AISTATS 2023
Incremental Aggregated Riemannian Gradient Method for Distributed PCA
AISTATS 2023
A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees
JMLR 2023
It’s MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk
EMNLP 2023
Fundamental limits and algorithms for sparse linear regression with sublinear sparsity
JMLR 2023
A Unified Framework for Optimization-Based Graph Coarsening
JMLR 2023
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition
JMLR 2023
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems
AAAI 2023
Diffusion Models Beat GANs on Topology Optimization
AAAI 2023
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