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

667 papers, page 11 of 14

501. NeurIPS 2025Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks
502. NeurIPS 2025Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
503. NeurIPS 2025Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness
504. NeurIPS 2025GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents
505. NeurIPS 2025Guarantees for Alternating Least Squares in Overparameterized Tensor Decompositions
506. NeurIPS 2025GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer
507. NeurIPS 2025GVPO: Group Variance Policy Optimization for Large Language Model Post-Training
508. NeurIPS 2025HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs
509. NeurIPS 2025Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time
510. NeurIPS 2025Hessian-guided Perturbed Wasserstein Gradient Flows for Escaping Saddle Points
511. NeurIPS 2025High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search
512. NeurIPS 2025How to Learn a Star: Binary Classification with Starshaped Polyhedral Sets
513. NeurIPS 2025How to Scale Second-Order Optimization
514. NeurIPS 2025IMPACT: Irregular Multi-Patch Adversarial Composition Based on Two‑Phase Optimization
515. NeurIPS 2025Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization
516. NeurIPS 2025Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning
517. NeurIPS 2025In Search of Adam’s Secret Sauce
518. NeurIPS 2025InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models
519. NeurIPS 2025Informed Initialization for Bayesian Optimization and Active Learning
520. NeurIPS 2025Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems
521. NeurIPS 2025Isotropic Noise in Stochastic and Quantum Convex Optimization
522. NeurIPS 2025KOALA++: Efficient Kalman-Based Optimization with Gradient-Covariance Products
523. NeurIPS 2025Large Language Models as End-to-end Combinatorial Optimization Solvers
524. NeurIPS 2025LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers
525. NeurIPS 2025Learn2Mix: Training Neural Networks Using Adaptive Data Integration
526. NeurIPS 2025Learning (Approximately) Equivariant Networks via Constrained Optimization
527. NeurIPS 2025Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Imaging Inverse Problems
528. NeurIPS 2025Learning Provably Improves the Convergence of Gradient Descent
529. NeurIPS 2025Learning to Insert for Constructive Neural Vehicle Routing Solver
530. NeurIPS 2025Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
531. NeurIPS 2025Learning with Statistical Equality Constraints
532. NeurIPS 2025Least squares variational inference
533. NeurIPS 2025Leveraging robust optimization for llm alignment under distribution shifts
534. NeurIPS 2025Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction
535. NeurIPS 2025Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent
536. NeurIPS 2025MAP Estimation with Denoisers: Convergence Rates and Guarantees
537. NeurIPS 2025MAT-Agent: Adaptive Multi-Agent Training Optimization
538. NeurIPS 2025MeCeFO: Enhancing LLM Training Robustness via Fault-Tolerant Optimization
539. NeurIPS 2025MESS+: Dynamically Learned Inference-Time LLM Routing in Model Zoos with Service Level Guarantees
540. NeurIPS 2025Meta-Learning Objectives for Preference Optimization
541. NeurIPS 2025MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization
542. NeurIPS 2025MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization
543. NeurIPS 2025MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling
544. NeurIPS 2025Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling
545. NeurIPS 2025MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions
546. NeurIPS 2025Momentum-SAM: Sharpness Aware Minimization without Computational Overhead
547. NeurIPS 2025Multi-Expert Distributionally Robust Optimization for Out-of-Distribution Generalization
548. NeurIPS 2025Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms
549. NeurIPS 2025Multiplayer Federated Learning: Reaching Equilibrium with Less Communication
550. NeurIPS 2025Natural Gradient VI: Guarantees for Non-Conjugate Models

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.