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

541 papers, page 11 of 11

501. ICLR 2023Hyperparameter Optimization through Neural Network Partitioning
502. ICLR 2023Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data
503. ICLR 2023Improved Convergence of Differential Private SGD with Gradient Clipping
504. ICLR 2023Improving Object-centric Learning with Query Optimization
505. ICLR 2023Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
506. ICLR 2023Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent
507. ICLR 2023Mind the Gap: Offline Policy Optimization for Imperfect Rewards
508. ICLR 2023Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
509. ICLR 2023Model-based Causal Bayesian Optimization
510. ICLR 2023Multi-objective optimization via equivariant deep hypervolume approximation
511. ICLR 2023Noise Is Not the Main Factor Behind the Gap Between Sgd and Adam on Transformers, But Sign Descent Might Be
512. ICLR 2023On amortizing convex conjugates for optimal transport
513. ICLR 2023On the Convergence of AdaGrad(Norm) on $\mathbb{R}^d$: Beyond Convexity, Non-Asymptotic Rate and Acceleration
514. ICLR 2023Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
515. ICLR 2023Parallel Deep Neural Networks Have Zero Duality Gap
516. ICLR 2023Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
517. ICLR 2023Population-size-Aware Policy Optimization for Mean-Field Games
518. ICLR 2023Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
519. ICLR 2023Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property
520. ICLR 2023RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates
521. ICLR 2023Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
522. ICLR 2023Restricted Strong Convexity of Deep Learning Models with Smooth Activations
523. ICLR 2023Robust Scheduling with GFlowNets
524. ICLR 2023Semi-Implicit Variational Inference via Score Matching
525. ICLR 2023SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization
526. ICLR 2023Single-shot General Hyper-parameter Optimization for Federated Learning
527. ICLR 2023Solving stochastic weak Minty variational inequalities without increasing batch size
528. ICLR 2023Stochastic Differentially Private and Fair Learning
529. ICLR 2023SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication
530. ICLR 2023Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
531. ICLR 2023The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
532. ICLR 2023TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization
533. ICLR 2023Topology-aware Robust Optimization for Out-of-Distribution Generalization
534. ICLR 2023Towards convergence to Nash equilibria in two-team zero-sum games
535. ICLR 2023Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
536. ICLR 2023Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
537. ICLR 2023Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
538. ICLR 2023Unsupervised Learning for Combinatorial Optimization Needs Meta Learning
539. ICLR 2023What Is Missing in IRM Training and Evaluation? Challenges and Solutions
540. ICLR 2023Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms
541. ICLR 2023Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation

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.