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 10 of 14

451. NeurIPS 2025CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
452. NeurIPS 2025Corporate Needs You to Find the Difference: Revisiting Submodular and Supermodular Ratio Optimization Problems
453. NeurIPS 2025Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
454. NeurIPS 2025Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
455. NeurIPS 2025Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework
456. NeurIPS 2025DataRater: Meta-Learned Dataset Curation
457. NeurIPS 2025Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport
458. NeurIPS 2025Deep Legendre Transform
459. NeurIPS 2025DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization
460. NeurIPS 2025Differentiable extensions with rounding guarantees for combinatorial optimization over permutations
461. NeurIPS 2025Differentiation Through Black-Box Quadratic Programming Solvers
462. NeurIPS 2025Direct Fisher Score Estimation for Likelihood Maximization
463. NeurIPS 2025Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences?
464. NeurIPS 2025Distributionally Robust Feature Selection
465. NeurIPS 2025Distributionally Robust Performative Optimization
466. NeurIPS 2025DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization
467. NeurIPS 2025DrivAerStar: An Industrial-Grade CFD Dataset for Vehicle Aerodynamic Optimization
468. NeurIPS 2025DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering
469. NeurIPS 2025Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via $\textit{In-the-wild}$ Cascading Flow Optimization
470. NeurIPS 2025Effective Neural Approximations for Geometric Optimization Problems
471. NeurIPS 2025Efficient Adaptive Federated Optimization
472. NeurIPS 2025Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees
473. NeurIPS 2025Efficient Quadratic Corrections for Frank-Wolfe Algorithms
474. NeurIPS 2025Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
475. NeurIPS 2025Efficiently Escaping Saddle Points under Generalized Smoothness via Self-Bounding Regularity
476. NeurIPS 2025Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models
477. NeurIPS 2025Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
478. NeurIPS 2025Enhancing Training Data Attribution with Representational Optimization
479. NeurIPS 2025Error Feedback under $(L_0,L_1)$-Smoothness: Normalization and Momentum
480. NeurIPS 2025Escaping saddle points without Lipschitz smoothness: the power of nonlinear preconditioning
481. NeurIPS 2025Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable
482. NeurIPS 2025Exploring and Exploiting Model Uncertainty in Bayesian Optimization
483. NeurIPS 2025Exploring Landscapes for Better Minima along Valleys
484. NeurIPS 2025Extragradient Method for $(L_0, L_1)$-Lipschitz Root-finding Problems
485. NeurIPS 2025Factor Decorrelation Enhanced Data Removal from Deep Predictive Models
486. NeurIPS 2025Fairness-Regularized Online Optimization with Switching Costs
487. NeurIPS 2025Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime
488. NeurIPS 2025Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing
489. NeurIPS 2025Fast Projection-Free Approach (without Optimization Oracle) for Optimization over Compact Convex Set
490. NeurIPS 2025Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods
491. NeurIPS 2025Faster Algorithms for Structured John Ellipsoid Computation
492. NeurIPS 2025Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features
493. NeurIPS 2025Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
494. NeurIPS 2025Flat Channels to Infinity in Neural Loss Landscapes
495. NeurIPS 2025Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning
496. NeurIPS 2025FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks
497. NeurIPS 2025Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape
498. NeurIPS 2025FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees
499. NeurIPS 2025Generalized Gradient Norm Clipping & Non-Euclidean $(L_0,L_1)$-Smoothness
500. NeurIPS 2025Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial 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.