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 28 of 47

1351. NeurIPS 2025Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner
1352. NeurIPS 2025Purity Law for Neural Routing Problem Solvers with Enhanced Generalizability
1353. NeurIPS 2025Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
1354. NeurIPS 2025Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions
1355. NeurIPS 2025Quantitative convergence of trained neural networks to Gaussian processes
1356. NeurIPS 2025Quantum Speedups for Minimax Optimization and Beyond
1357. NeurIPS 2025Quasi-Self-Concordant Optimization with $\ell_{\infty}$ Lewis Weights
1358. NeurIPS 2025ReDit: Reward Dithering for Improved LLM Policy Optimization
1359. NeurIPS 2025RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
1360. NeurIPS 2025RePO: Understanding Preference Learning Through ReLU-Based Optimization
1361. NeurIPS 2025Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees
1362. NeurIPS 2025Rethinking PCA Through Duality
1363. NeurIPS 2025Revisiting Consensus Error: A Fine-grained Analysis of Local SGD under Second-order Data Heterogeneity
1364. NeurIPS 2025Revisiting Frank-Wolfe for Structured Nonconvex Optimization
1365. NeurIPS 2025Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions
1366. NeurIPS 2025RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes
1367. NeurIPS 2025Risk-aware Direct Preference Optimization under Nested Risk Measure
1368. NeurIPS 2025Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA
1369. NeurIPS 2025Robust Hyperbolic Learning with Curvature-Aware Optimization
1370. NeurIPS 2025Robust LLM Alignment via Distributionally Robust Direct Preference Optimization
1371. NeurIPS 2025RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models
1372. NeurIPS 2025RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers
1373. NeurIPS 2025SAD Neural Networks: Divergent Gradient Flows and Asymptotic Optimality via o-minimal Structures
1374. NeurIPS 2025Scalable inference of functional neural connectivity at submillisecond timescales
1375. NeurIPS 2025Scaling Laws for Gradient Descent and Sign Descent for Linear Bigram Models under Zipf’s Law
1376. NeurIPS 2025SDPGO: Efficient Self-Distillation Training Meets Proximal Gradient Optimization
1377. NeurIPS 2025Second-Order Convergence in Private Stochastic Non-Convex Optimization
1378. NeurIPS 2025Second-order Optimization under Heavy-Tailed Noise: Hessian Clipping and Sample Complexity Limits
1379. NeurIPS 2025Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models
1380. NeurIPS 2025Semi-infinite Nonconvex Constrained Min-Max Optimization
1381. NeurIPS 2025Set Smoothness Unlocks Clarke Hyper-stationarity in Bilevel Optimization
1382. NeurIPS 2025Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings
1383. NeurIPS 2025Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
1384. NeurIPS 2025Sketched Adaptive Distributed Deep Learning: A Sharp Convergence Analysis
1385. NeurIPS 2025Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints
1386. NeurIPS 2025Solver-Free Decision-Focused Learning for Linear Optimization Problems
1387. NeurIPS 2025Solving Neural Min-Max Games: The Role of Architecture, Initialization & Dynamics
1388. NeurIPS 2025Solving the Asymmetric Traveling Salesman Problem via Trace-Guided Cost Augmentation
1389. NeurIPS 2025Spike-timing-dependent Hebbian learning as noisy gradient descent
1390. NeurIPS 2025SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes
1391. NeurIPS 2025Stab-SGD: Noise-Adaptivity in Smooth Optimization with Stability Ratios
1392. NeurIPS 2025Stability and Sharper Risk Bounds with Convergence Rate $\tilde{O}(1/n^2)$
1393. NeurIPS 2025Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes
1394. NeurIPS 2025Stepsize anything: A unified learning rate schedule for budgeted-iteration training
1395. NeurIPS 2025Stochastic Gradients under Nuisances
1396. NeurIPS 2025Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization
1397. NeurIPS 2025Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
1398. NeurIPS 2025Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models
1399. NeurIPS 2025SubTrack++ : Gradient Subspace Tracking for Scalable LLM Training
1400. NeurIPS 2025System Prompt Optimization with Meta-Learning

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.