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

560 papers, page 2 of 12

51. ICLR 2024Dropout Enhanced Bilevel Training
52. ICLR 2024EControl: Fast Distributed Optimization with Compression and Error Control
53. ICLR 2024Efficient Continual Finite-Sum Minimization
54. ICLR 2024Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants
55. ICLR 2024f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
56. ICLR 2024Fast Equilibrium of SGD in Generic Situations
57. ICLR 2024FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization
58. ICLR 2024Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization
59. ICLR 2024Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem
60. ICLR 2024FOSI: Hybrid First and Second Order Optimization
61. ICLR 2024Global Optimality for Non-linear Constrained Restoration Problems via Invexity
62. ICLR 2024Gradual Optimization Learning for Conformational Energy Minimization
63. ICLR 2024Group Preference Optimization: Few-Shot Alignment of Large Language Models
64. ICLR 2024How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization
65. ICLR 2024Implicit Maximum a Posteriori Filtering via Adaptive Optimization
66. ICLR 2024Implicit regularization of deep residual networks towards neural ODEs
67. ICLR 2024Improving Convergence and Generalization Using Parameter Symmetries
68. ICLR 2024Improving protein optimization with smoothed fitness landscapes
69. ICLR 2024Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
70. ICLR 2024L2P-MIP: Learning to Presolve for Mixed Integer Programming
71. ICLR 2024Language Model Decoding as Direct Metrics Optimization
72. ICLR 2024Large Language Models to Enhance Bayesian Optimization
73. ICLR 2024Learning model uncertainty as variance-minimizing instance weights
74. ICLR 2024Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model
75. ICLR 2024Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning
76. ICLR 2024Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset
77. ICLR 2024Linear attention is (maybe) all you need (to understand Transformer optimization)
78. ICLR 2024Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts
79. ICLR 2024Local Composite Saddle Point Optimization
80. ICLR 2024Magnitude Invariant Parametrizations Improve Hypernetwork Learning
81. ICLR 2024Massively Scalable Inverse Reinforcement Learning in Google Maps
82. ICLR 2024Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis
83. ICLR 2024Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes
84. ICLR 2024Momentum Benefits Non-iid Federated Learning Simply and Provably
85. ICLR 2024Near-Optimal Solutions of Constrained Learning Problems
86. ICLR 2024Neur2RO: Neural Two-Stage Robust Optimization
87. ICLR 2024Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
88. ICLR 2024New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions
89. ICLR 2024On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
90. ICLR 2024On Stationary Point Convergence of PPO-Clip
91. ICLR 2024On the Fairness ROAD: Robust Optimization for Adversarial Debiasing
92. ICLR 2024On the Hardness of Online Nonconvex Optimization with Single Oracle Feedback
93. ICLR 2024On the Parameterization of Second-Order Optimization Effective towards the Infinite Width
94. ICLR 2024One Forward is Enough for Neural Network Training via Likelihood Ratio Method
95. ICLR 2024Optimistic Bayesian Optimization with Unknown Constraints
96. ICLR 2024Order-Preserving GFlowNets
97. ICLR 2024Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization
98. ICLR 2024Private Zeroth-Order Nonsmooth Nonconvex Optimization
99. ICLR 2024PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
100. ICLR 2024Quality-Diversity through AI Feedback

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.