Nonconvex Optimization papers, 2023–2026

Key findings

• Nonconvex Optimization went from 346 papers in 2023 to 757 in 2026, roughly 2.2x in three years.
• NeurIPS publishes the most Nonconvex Optimization work: 958 papers from 2023 to 2026, 41% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 2 in 2023 to 44 in 2026.
• Among the 5 topics under Optimization and Scaling, it ranks #2 by 2026 paper count; the fastest grower in the group, Scaling Laws, is up 4.1x versus 2.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\gamma$-weakly $\theta$-up-concavity: A Unified Framework for Non-Convex Optimization Beyond DR-Submodular and OSS Functions
• ICML 2026$\texttt{MetaDistill}$: Unlocking the Performance Ceiling for Pretrained Optimizers
• ICLR 2026Behavioral Embeddings of Programs: A Quasi-Dynamic Approach for Optimization Prediction
• CVPR 2026Coverage Optimization for Camera View Selection
• NeurIPS 2025Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation
• ICML 2025A Bregman Proximal Viewpoint on Neural Operators
• ICLR 2025A Truncated Newton Method for Optimal Transport
• CVPR 2025Balanced Rate-Distortion Optimization in Learned Image Compression
• NeurIPS 2024A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
• ICML 2024A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization
• ICLR 2024Bayesian Coreset Optimization for Personalized Federated Learning
• CVPR 2024FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance
• NeurIPS 2023A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting
• ICML 2023A Distribution Optimization Framework for Confidence Bounds of Risk Measures
• ICLR 2023A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.
• CVPR 2023Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization
• NeurIPS 2026A Doubly Smoothed Decentralized Stochastic Minimax Optimization Algorithm
• ICML 2026A Constrained Optimization Perspective of Unrolled Transformers
• ICLR 2026BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training
• CVPR 2026Fully Decentralized Certified Unlearning

All Nonconvex Optimization papers

279 papers, page 2 of 6

51. NeurIPS 2025Conditional Gradient Methods with Standard LMO for Stochastic Simple Bilevel Optimization
52. NeurIPS 2025Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
53. NeurIPS 2025Conformal Risk Training: End-to-End Optimization of Conformal Risk Control
54. NeurIPS 2025Constrained Optimization From a Control Perspective via Feedback Linearization
55. NeurIPS 2025Continual Optimization with Symmetry Teleportation for Multi-Task Learning
56. NeurIPS 2025Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space
57. NeurIPS 2025Controlling the Flow: Stability and Convergence for Stochastic Gradient Descent with Decaying Regularization
58. NeurIPS 2025Convergence of Clipped SGD on Convex $(L_0,L_1)$-Smooth Functions
59. NeurIPS 2025Convergence of the Gradient Flow for Shallow ReLU Networks on Weakly Interacting Data
60. NeurIPS 2025Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares
61. NeurIPS 2025Convergence Rates of Constrained Expected Improvement
62. NeurIPS 2025Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning
63. NeurIPS 2025CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
64. NeurIPS 2025Corporate Needs You to Find the Difference: Revisiting Submodular and Supermodular Ratio Optimization Problems
65. NeurIPS 2025Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
66. NeurIPS 2025Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
67. NeurIPS 2025Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework
68. NeurIPS 2025DataRater: Meta-Learned Dataset Curation
69. NeurIPS 2025Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport
70. NeurIPS 2025Deep Legendre Transform
71. NeurIPS 2025DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization
72. NeurIPS 2025Differentiable extensions with rounding guarantees for combinatorial optimization over permutations
73. NeurIPS 2025Differentiation Through Black-Box Quadratic Programming Solvers
74. NeurIPS 2025Direct Fisher Score Estimation for Likelihood Maximization
75. NeurIPS 2025Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences?
76. NeurIPS 2025Distributionally Robust Feature Selection
77. NeurIPS 2025Distributionally Robust Performative Optimization
78. NeurIPS 2025DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization
79. NeurIPS 2025DrivAerStar: An Industrial-Grade CFD Dataset for Vehicle Aerodynamic Optimization
80. NeurIPS 2025DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering
81. NeurIPS 2025Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via $\textit{In-the-wild}$ Cascading Flow Optimization
82. NeurIPS 2025Effective Neural Approximations for Geometric Optimization Problems
83. NeurIPS 2025Efficient Adaptive Federated Optimization
84. NeurIPS 2025Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees
85. NeurIPS 2025Efficient Quadratic Corrections for Frank-Wolfe Algorithms
86. NeurIPS 2025Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
87. NeurIPS 2025Efficiently Escaping Saddle Points under Generalized Smoothness via Self-Bounding Regularity
88. NeurIPS 2025Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models
89. NeurIPS 2025Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
90. NeurIPS 2025Enhancing Training Data Attribution with Representational Optimization
91. NeurIPS 2025Error Feedback under $(L_0,L_1)$-Smoothness: Normalization and Momentum
92. NeurIPS 2025Escaping saddle points without Lipschitz smoothness: the power of nonlinear preconditioning
93. NeurIPS 2025Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable
94. NeurIPS 2025Exploring and Exploiting Model Uncertainty in Bayesian Optimization
95. NeurIPS 2025Exploring Landscapes for Better Minima along Valleys
96. NeurIPS 2025Extragradient Method for $(L_0, L_1)$-Lipschitz Root-finding Problems
97. NeurIPS 2025Factor Decorrelation Enhanced Data Removal from Deep Predictive Models
98. NeurIPS 2025Fairness-Regularized Online Optimization with Switching Costs
99. NeurIPS 2025Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime
100. NeurIPS 2025Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing

FAQ

How many Nonconvex Optimization papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

2,330 in total: 346 in 2023, 560 in 2024, 667 in 2025, 757 in 2026.

How many Nonconvex Optimization papers are at NeurIPS 2026?

NeurIPS 2026 has 250 Nonconvex Optimization papers, versus 279 the year before.

How many Nonconvex Optimization papers are at ICLR 2026?

ICLR 2026 has 178 Nonconvex Optimization papers, versus 177 the year before.

How many Nonconvex Optimization papers are at ICML 2026?

ICML 2026 has 286 Nonconvex Optimization papers, versus 192 the year before.

How many Nonconvex Optimization papers are at CVPR 2026?

CVPR 2026 has 43 Nonconvex Optimization papers, versus 19 the year before.

Which conference publishes the most Nonconvex Optimization papers?

NeurIPS, with 958 papers from 2023 to 2026.