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 31 of 47

1501. ICLR 2024Linear attention is (maybe) all you need (to understand Transformer optimization)
1502. ICLR 2024Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts
1503. ICLR 2024Local Composite Saddle Point Optimization
1504. ICLR 2024Magnitude Invariant Parametrizations Improve Hypernetwork Learning
1505. ICLR 2024Massively Scalable Inverse Reinforcement Learning in Google Maps
1506. ICLR 2024Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis
1507. ICLR 2024Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes
1508. ICLR 2024Momentum Benefits Non-iid Federated Learning Simply and Provably
1509. ICLR 2024Near-Optimal Solutions of Constrained Learning Problems
1510. ICLR 2024Neur2RO: Neural Two-Stage Robust Optimization
1511. ICLR 2024Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
1512. ICLR 2024New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions
1513. ICLR 2024On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
1514. ICLR 2024On Stationary Point Convergence of PPO-Clip
1515. ICLR 2024On the Fairness ROAD: Robust Optimization for Adversarial Debiasing
1516. ICLR 2024On the Hardness of Online Nonconvex Optimization with Single Oracle Feedback
1517. ICLR 2024On the Parameterization of Second-Order Optimization Effective towards the Infinite Width
1518. ICLR 2024One Forward is Enough for Neural Network Training via Likelihood Ratio Method
1519. ICLR 2024Optimistic Bayesian Optimization with Unknown Constraints
1520. ICLR 2024Order-Preserving GFlowNets
1521. ICLR 2024Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization
1522. ICLR 2024Private Zeroth-Order Nonsmooth Nonconvex Optimization
1523. ICLR 2024PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
1524. ICLR 2024Quality-Diversity through AI Feedback
1525. ICLR 2024Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
1526. ICLR 2024Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks
1527. ICLR 2024Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization
1528. ICLR 2024Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework
1529. ICLR 2024Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
1530. ICLR 2024Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods
1531. ICLR 2024Robust Model-Based Optimization for Challenging Fitness Landscapes
1532. ICLR 2024Scaling Convex Neural Networks with Burer-Monteiro Factorization
1533. ICLR 2024SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problem
1534. ICLR 2024Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity
1535. ICLR 2024Small-scale proxies for large-scale Transformer training instabilities
1536. ICLR 2024Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
1537. ICLR 2024Statistical Rejection Sampling Improves Preference Optimization
1538. ICLR 2024Submodular Reinforcement Learning
1539. ICLR 2024Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems
1540. ICLR 2024Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration
1541. ICLR 2024Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks
1542. ICLR 2024The importance of feature preprocessing for differentially private linear optimization
1543. ICLR 2024The Marginal Value of Momentum for Small Learning Rate SGD
1544. ICLR 2024Topic Modeling as Multi-Objective Contrastive Optimization
1545. ICLR 2024Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion
1546. ICLR 2024Two-timescale Extragradient for Finding Local Minimax Points
1547. ICLR 2024Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions
1548. ICLR 2024Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration
1549. ICLR 2024What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine Similarity
1550. ICML 2024A Diffusion Model Framework for Unsupervised Neural 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.