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

2,330 papers, page 44 of 47

2151. ICML 2023Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization
2152. ICML 2023Optimal Shrinkage for Distributed Second-Order Optimization
2153. ICML 2023Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
2154. ICML 2023Optimization for Amortized Inverse Problems
2155. ICML 2023PASTA: Pessimistic Assortment Optimization
2156. ICML 2023Quantized Distributed Training of Large Models with Convergence Guarantees
2157. ICML 2023Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions
2158. ICML 2023Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds
2159. ICML 2023Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization
2160. ICML 2023Revisiting Sampling for Combinatorial Optimization
2161. ICML 2023Second-Order Optimization with Lazy Hessians
2162. ICML 2023Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
2163. ICML 2023Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.
2164. ICML 2023Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function
2165. ICML 2023SLAMB: Accelerated Large Batch Training with Sparse Communication
2166. ICML 2023Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
2167. ICML 2023Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks
2168. ICML 2023Submodular Order Functions and Assortment Optimization
2169. ICML 2023SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems
2170. ICML 2023Target-based Surrogates for Stochastic Optimization
2171. ICML 2023Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations
2172. ICML 2023Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes
2173. ICML 2023Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization
2174. ICML 2023Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy
2175. ICML 2023Understand and Modularize Generator Optimization in ELECTRA-style Pretraining
2176. ICML 2023User-level Private Stochastic Convex Optimization with Optimal Rates
2177. NeurIPS 2023(Amplified) Banded Matrix Factorization: A unified approach to private training
2178. NeurIPS 2023[Re] Bandit Theory and Thompson Sampling-guided Directed Evolution for Sequence Optimization
2179. NeurIPS 20232Direction: Theoretically Faster Distributed Training with Bidirectional Communication Compression
2180. NeurIPS 2023A Combinatorial Algorithm for Approximating the Optimal Transport in the Parallel and MPC Settings
2181. NeurIPS 2023A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting
2182. NeurIPS 2023A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
2183. NeurIPS 2023A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization
2184. NeurIPS 2023A Unified Approach for Maximizing Continuous DR-submodular Functions
2185. NeurIPS 2023A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization
2186. NeurIPS 2023A Unified Framework for Rank-based Loss Minimization
2187. NeurIPS 2023Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization
2188. NeurIPS 2023Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance
2189. NeurIPS 2023Achieving $\mathcal{O}(\epsilon^{-1.5})$ Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization
2190. NeurIPS 2023Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction
2191. NeurIPS 2023Advancing Bayesian Optimization via Learning Correlated Latent Space
2192. NeurIPS 2023An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition
2193. NeurIPS 2023An Exploration-by-Optimization Approach to Best of Both Worlds in Linear Bandits
2194. NeurIPS 2023An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization
2195. NeurIPS 2023An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions
2196. NeurIPS 2023AutoGO: Automated Computation Graph Optimization for Neural Network Evolution
2197. NeurIPS 2023Batch Bayesian Optimization For Replicable Experimental Design
2198. NeurIPS 2023Bias in Evaluation Processes: An Optimization-Based Model
2199. NeurIPS 2023Bicriteria Approximation Algorithms for the Submodular Cover Problem
2200. NeurIPS 2023Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start

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.