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

560 papers, page 9 of 12

401. NeurIPS 2024Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity
402. NeurIPS 2024In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization
403. NeurIPS 2024In-Context Learning State Vector with Inner and Momentum Optimization
404. NeurIPS 2024Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery
405. NeurIPS 2024Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence
406. NeurIPS 2024Inversion-based Latent Bayesian Optimization
407. NeurIPS 2024IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs
408. NeurIPS 2024Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?
409. NeurIPS 2024John Ellipsoids via Lazy Updates
410. NeurIPS 2024Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization
411. NeurIPS 2024Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities
412. NeurIPS 2024Learnability of high-dimensional targets by two-parameter models and gradient flow
413. NeurIPS 2024Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
414. NeurIPS 2024Learning and Transferring Sparse Contextual Bigrams with Linear Transformers
415. NeurIPS 2024Learning Cut Generating Functions for Integer Programming
416. NeurIPS 2024Learning Elastic Costs to Shape Monge Displacements
417. NeurIPS 2024Learning from Noisy Labels via Conditional Distributionally Robust Optimization
418. NeurIPS 2024Learning Generalized Linear Programming Value Functions
419. NeurIPS 2024Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way
420. NeurIPS 2024Learning with Fitzpatrick Losses
421. NeurIPS 2024Learning-Augmented Dynamic Submodular Maximization
422. NeurIPS 2024Length Optimization in Conformal Prediction
423. NeurIPS 2024LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch
424. NeurIPS 2024Linear Transformers are Versatile In-Context Learners
425. NeurIPS 2024Localized Zeroth-Order Prompt Optimization
426. NeurIPS 2024Loss Landscape Characterization of Neural Networks without Over-Parametrization
427. NeurIPS 2024Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks
428. NeurIPS 2024Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization
429. NeurIPS 2024Make Continual Learning Stronger via C-Flat
430. NeurIPS 2024Markov Equivalence and Consistency in Differentiable Structure Learning
431. NeurIPS 2024Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach
432. NeurIPS 2024Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
433. NeurIPS 2024Metrizing Weak Convergence with Maximum Mean Discrepancies
434. NeurIPS 2024MG-Net: Learn to Customize QAOA with Circuit Depth Awareness
435. NeurIPS 2024MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence
436. NeurIPS 2024Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization
437. NeurIPS 2024MiSO: Optimizing brain stimulation to create neural activity states
438. NeurIPS 2024Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
439. NeurIPS 2024MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
440. NeurIPS 2024Monte Carlo Tree Search based Space Transfer for Black Box Optimization
441. NeurIPS 2024Multidimensional Fractional Programming for Normalized Cuts
442. NeurIPS 2024Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity
443. NeurIPS 2024Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD
444. NeurIPS 2024Nearly Minimax Optimal Submodular Maximization with Bandit Feedback
445. NeurIPS 2024Neur2BiLO: Neural Bilevel Optimization
446. NeurIPS 2024Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks
447. NeurIPS 2024Neural Combinatorial Optimization for Robust Routing Problem with Uncertain Travel Times
448. NeurIPS 2024Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
449. NeurIPS 2024No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO
450. NeurIPS 2024Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search

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.