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

250 papers, page 3 of 5

101. NeurIPS 2026InQuant: In-Place Mixed-Precision KV Cache Quantization via Saliency-Aware Neighbor-Slot Reuse
102. NeurIPS 2026Instance-Dependent Bandit Convex Optimization in One Dimension
103. NeurIPS 2026Interpreting Neural Combinatorial Optimization via Evolving Programmatic Bottlenecks
104. NeurIPS 2026Intrinsic Muon: Spectral Optimization on Riemannian Matrix Manifolds
105. NeurIPS 2026Jacobian Descent for Multi-Objective Optimization
106. NeurIPS 2026Joint Optimization of Tool Creation and Use for Large Language Model Agents
107. NeurIPS 2026Kernel-based guarantees for nonlinear parametric models in Bayesian optimization
108. NeurIPS 2026KnowEvo: Knowledge Evolution for Protein Optimization
109. NeurIPS 2026Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems
110. NeurIPS 2026Layer Free-Riding in Forward-Forward Networks: Real, Repairable, but Not Accuracy-Dominant
111. NeurIPS 2026LDPCache: Locally Differentially Private Multi-Query Processing with Cache Optimization for Large Language Models
112. NeurIPS 2026Learning Minimal Sufficient Evidence Graphs for GraphRAG via Nash-Guided Optimization
113. NeurIPS 2026Learning Polyhedral Conformal Sets for Robust Optimization
114. NeurIPS 2026Learning Rate Decay Can Exponentially Accelerate SGD for Global Optimization of Nonconvex Functions
115. NeurIPS 2026Learning to Search, Searching to Learn: A Closed-Loop Framework for Large-Scale Vehicle Routing
116. NeurIPS 2026Learning When to Think: Dual-Reference Offline Optimization for Adaptive VLM Reasoning
117. NeurIPS 2026Likelihood-Free Generative Policy Optimization
118. NeurIPS 2026Literati: Towards Anytime Optimal Shape Generalized Trees via AO*
119. NeurIPS 2026Locally-Additive Regret for Delayed Non-stationary Bandit Convex Optimization
120. NeurIPS 2026LOCU: Löwdin-Orthogonalized Constraint Updates for Multi-Constraint Policy Optimization
121. NeurIPS 2026LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging
122. NeurIPS 2026LOTION: Smoothing the Optimization Landscape for Quantized Training
123. NeurIPS 2026MACRO: Training-free Multi-plane Attention for Closeup Render Optimization
124. NeurIPS 2026Manifold Drift in Flow Preference Optimization: A Root Cause of Reward Hacking
125. NeurIPS 2026MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge
126. NeurIPS 2026Masked Sobolev Training for Feasibility-Reliable Optimization Proxies
127. NeurIPS 2026Match the Geometry, Skip the Surrogate: Extreme Low-Budget Optimization in High Dimensions
128. NeurIPS 2026Median-of-Means under Structured Heavy-Tailed Noise: High-Probability Bounds for Clipped Stochastic Optimization
129. NeurIPS 2026Minimax Optimization without Spurious Solutions in Optimal Transport Learning
130. NeurIPS 2026Mirror Descent-Ascent for mean-field min-max problems
131. NeurIPS 2026Mitigating Data Heterogeneity Effect in Client-Reshuffling-Based Federated Learning
132. NeurIPS 2026Mix-Opt: Mixed Optimization for Memory-Efficient Personalization of Text-to-Image Diffusion Models
133. NeurIPS 2026MM-OptBench: A Solver-Grounded Benchmark for Multimodal Optimization Modeling
134. NeurIPS 2026MOBO-CAPS: Multi-objective Bayesian Optimization with Cardinality-Aware Pareto Selection
135. NeurIPS 2026Mode-Controlled Policy Optimization: A Geometry-Aware Recipe for LLM Post-Training
136. NeurIPS 2026Module-Aware Optimization for Graph Neural Networks
137. NeurIPS 2026MoMHa: Multi-Objective Optimization of LLM Harnesses over Accuracy, Safety, and Tokens
138. NeurIPS 2026Multi-Nonsmooth-Nonconvex-Objective Optimization
139. NeurIPS 2026Nerve-Skeleton Message Passing for Federated Optimization with Overlapping Parameters
140. NeurIPS 2026Never Go Full Batch: Stochastic TMLE for Large-Scale Debiased Inference
141. NeurIPS 2026NLD4CO: Neural Langevin Dynamics for Combinatorial Optimization
142. NeurIPS 2026Nonconvex Decentralized Stochastic Bilevel Optimization under Heavy-Tailed Noise
143. NeurIPS 2026Offline Materials Optimization with CliqueFlowmer
144. NeurIPS 2026On Lipschitz Explosion in Deep Neural Networks with Normalization: Consequences for Optimization and Robustness
145. NeurIPS 2026On the Convergence of Multicalibration Gradient Boosting
146. NeurIPS 2026On the Convergence of Success Conditioning for Policy Optimization
147. NeurIPS 2026On the Last-Iterate Convergence of Clipped Gradient Methods
148. NeurIPS 2026On the Sparsity of Direct Preference Optimization: Weight Disentanglement in the NTK Regime
149. NeurIPS 2026Online Learning on Hidden-Convex Losses via Algorithmic Equivalence: Optimal Regret, Geometric Barrier, and Bandit Feedback
150. NeurIPS 2026Online Min-Max Optimization: From Individual Regrets to Cumulative Saddle Points

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.