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Methodology
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Optimization
14207 directly classified papers
Papers per year
2001: 10
2002: 9
2003: 16
2004: 6
2005: 16
2006: 58
2007: 67
2008: 72
2009: 84
2010: 106
2011: 132
2012: 164
2013: 333
2014: 295
2015: 310
2016: 380
2017: 509
2018: 669
2019: 1072
2020: 1217
2021: 1489
2022: 1470
2023: 1746
2024: 1819
2025: 1567
2026: 591
Papers
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities
JMLR 2025
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles
JMLR 2025
Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy
JMLR 2025
depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers
JMLR 2025
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis
JMLR 2025
Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation
JMLR 2025
Optimization Over a Probability Simplex
JMLR 2025
Riemannian Bilevel Optimization
JMLR 2025
Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
ICLR 2025
Universal Online Convex Optimization Meets Second-order Bounds
JMLR 2025
AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning
EMNLP 2025
Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals
JMLR 2025
RPO: Retrieval Preference Optimization for Robust Retrieval-Augmented Generation
ACL 2025
Last-iterate Convergence of Shuffling Momentum Gradient Method under the Kurdyka-Lojasiewicz Inequality
JMLR 2025
EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback
JMLR 2025
Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization
JMLR 2025
Learning Regularization for Graph Inverse Problems
AAAI 2025
PTQ4VM: Post-Training Quantization for Visual Mamba
WACV 2025
VortSDF: 3D Modeling with Centroidal Voronoi Tesselation on Signed Distance Field
WACV 2025
Improving Deep Detector Robustness via Detection-Related Discriminant Maximization and Reorganization
WACV 2025
Bridging Robustness and Generalization Against Word Substitution Attacks in NLP via the Growth Bound Matrix Approach
ACL 2025
Simplex Constrained Sparse Optimization via Tail Screening
JMLR 2025
DCC: Differentiable Cardinality Constraints for Partial Index Tracking
AAAI 2025
Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation
AAAI 2025
LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet?
EMNLP 2025
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