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 30 of 47

1451. ICLR 2024Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise
1452. ICLR 2024Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks
1453. ICLR 2024Accelerating Sinkhorn algorithm with sparse Newton iterations
1454. ICLR 2024Adversarial Causal Bayesian Optimization
1455. ICLR 2024An improved analysis of per-sample and per-update clipping in federated learning
1456. ICLR 2024Backdoor Contrastive Learning via Bi-level Trigger Optimization
1457. ICLR 2024Balancing Act: Constraining Disparate Impact in Sparse Models
1458. ICLR 2024Bayesian Coreset Optimization for Personalized Federated Learning
1459. ICLR 2024Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data
1460. ICLR 2024Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints
1461. ICLR 2024Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis
1462. ICLR 2024Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
1463. ICLR 2024CO2: Efficient Distributed Training with Full Communication-Computation Overlap
1464. ICLR 2024Combining Axes Preconditioners through Kronecker Approximation for Deep Learning
1465. ICLR 2024Communication-Efficient Federated Non-Linear Bandit Optimization
1466. ICLR 2024Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm
1467. ICLR 2024Constraint-Free Structure Learning with Smooth Acyclic Orientations
1468. ICLR 2024Convergence of Bayesian Bilevel Optimization
1469. ICLR 2024Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
1470. ICLR 2024DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training
1471. ICLR 2024Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization
1472. ICLR 2024Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
1473. ICLR 2024Distributionally Robust Optimization with Bias and Variance Reduction
1474. ICLR 2024Doubly Robust Instance-Reweighted Adversarial Training
1475. ICLR 2024Dropout Enhanced Bilevel Training
1476. ICLR 2024EControl: Fast Distributed Optimization with Compression and Error Control
1477. ICLR 2024Efficient Continual Finite-Sum Minimization
1478. ICLR 2024Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants
1479. ICLR 2024f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
1480. ICLR 2024Fast Equilibrium of SGD in Generic Situations
1481. ICLR 2024FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization
1482. ICLR 2024Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization
1483. ICLR 2024Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem
1484. ICLR 2024FOSI: Hybrid First and Second Order Optimization
1485. ICLR 2024Global Optimality for Non-linear Constrained Restoration Problems via Invexity
1486. ICLR 2024Gradual Optimization Learning for Conformational Energy Minimization
1487. ICLR 2024Group Preference Optimization: Few-Shot Alignment of Large Language Models
1488. ICLR 2024How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization
1489. ICLR 2024Implicit Maximum a Posteriori Filtering via Adaptive Optimization
1490. ICLR 2024Implicit regularization of deep residual networks towards neural ODEs
1491. ICLR 2024Improving Convergence and Generalization Using Parameter Symmetries
1492. ICLR 2024Improving protein optimization with smoothed fitness landscapes
1493. ICLR 2024Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
1494. ICLR 2024L2P-MIP: Learning to Presolve for Mixed Integer Programming
1495. ICLR 2024Language Model Decoding as Direct Metrics Optimization
1496. ICLR 2024Large Language Models to Enhance Bayesian Optimization
1497. ICLR 2024Learning model uncertainty as variance-minimizing instance weights
1498. ICLR 2024Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model
1499. ICLR 2024Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning
1500. ICLR 2024Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset

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.