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 3 of 6

101. NeurIPS 2025Fast Projection-Free Approach (without Optimization Oracle) for Optimization over Compact Convex Set
102. NeurIPS 2025Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods
103. NeurIPS 2025Faster Algorithms for Structured John Ellipsoid Computation
104. NeurIPS 2025Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features
105. NeurIPS 2025Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
106. NeurIPS 2025Flat Channels to Infinity in Neural Loss Landscapes
107. NeurIPS 2025Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning
108. NeurIPS 2025FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks
109. NeurIPS 2025Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape
110. NeurIPS 2025FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees
111. NeurIPS 2025Generalized Gradient Norm Clipping & Non-Euclidean $(L_0,L_1)$-Smoothness
112. NeurIPS 2025Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial Optimization
113. NeurIPS 2025Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks
114. NeurIPS 2025Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
115. NeurIPS 2025Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness
116. NeurIPS 2025GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents
117. NeurIPS 2025Guarantees for Alternating Least Squares in Overparameterized Tensor Decompositions
118. NeurIPS 2025GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer
119. NeurIPS 2025GVPO: Group Variance Policy Optimization for Large Language Model Post-Training
120. NeurIPS 2025HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs
121. NeurIPS 2025Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time
122. NeurIPS 2025Hessian-guided Perturbed Wasserstein Gradient Flows for Escaping Saddle Points
123. NeurIPS 2025High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search
124. NeurIPS 2025How to Learn a Star: Binary Classification with Starshaped Polyhedral Sets
125. NeurIPS 2025How to Scale Second-Order Optimization
126. NeurIPS 2025IMPACT: Irregular Multi-Patch Adversarial Composition Based on Two‑Phase Optimization
127. NeurIPS 2025Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization
128. NeurIPS 2025Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning
129. NeurIPS 2025In Search of Adam’s Secret Sauce
130. NeurIPS 2025InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models
131. NeurIPS 2025Informed Initialization for Bayesian Optimization and Active Learning
132. NeurIPS 2025Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems
133. NeurIPS 2025Isotropic Noise in Stochastic and Quantum Convex Optimization
134. NeurIPS 2025KOALA++: Efficient Kalman-Based Optimization with Gradient-Covariance Products
135. NeurIPS 2025Large Language Models as End-to-end Combinatorial Optimization Solvers
136. NeurIPS 2025LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers
137. NeurIPS 2025Learn2Mix: Training Neural Networks Using Adaptive Data Integration
138. NeurIPS 2025Learning (Approximately) Equivariant Networks via Constrained Optimization
139. NeurIPS 2025Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Imaging Inverse Problems
140. NeurIPS 2025Learning Provably Improves the Convergence of Gradient Descent
141. NeurIPS 2025Learning to Insert for Constructive Neural Vehicle Routing Solver
142. NeurIPS 2025Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
143. NeurIPS 2025Learning with Statistical Equality Constraints
144. NeurIPS 2025Least squares variational inference
145. NeurIPS 2025Leveraging robust optimization for llm alignment under distribution shifts
146. NeurIPS 2025Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction
147. NeurIPS 2025Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent
148. NeurIPS 2025MAP Estimation with Denoisers: Convergence Rates and Guarantees
149. NeurIPS 2025MAT-Agent: Adaptive Multi-Agent Training Optimization
150. NeurIPS 2025MeCeFO: Enhancing LLM Training Robustness via Fault-Tolerant Optimization

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.