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

95 papers, page 2 of 2

51. CVPR 2025EditSplat: Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian Splatting
52. CVPR 2025FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
53. CVPR 2025HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition
54. CVPR 2025InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment
55. CVPR 2025Instance-wise Supervision-level Optimization in Active Learning
56. CVPR 2025Investigating the Role of Weight Decay in Enhancing Nonconvex SGD
57. CVPR 2025Joint Optimization of Neural Radiance Fields and Continuous Camera Motion from a Monocular Video
58. CVPR 2025Locally Orderless Images for Optimization in Differentiable Rendering
59. CVPR 2025PIDLoc: Cross-View Pose Optimization Network Inspired by PID Controllers
60. CVPR 2025Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
61. CVPR 2025SSHNet: Unsupervised Cross-modal Homography Estimation via Problem Reformulation and Split Optimization
62. CVPR 2025SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization
63. CVPR 2024Adapters Strike Back
64. CVPR 2024DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation
65. CVPR 2024Efficient Hyperparameter Optimization with Adaptive Fidelity Identification
66. CVPR 2024FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance
67. CVPR 2024Fast Adaptation for Human Pose Estimation via Meta-Optimization
68. CVPR 2024Friendly Sharpness-Aware Minimization
69. CVPR 2024ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization
70. CVPR 2024Implicit Event-RGBD Neural SLAM
71. CVPR 2024In Search of a Data Transformation That Accelerates Neural Field Training
72. CVPR 2024Ink Dot-Oriented Differentiable Optimization for Neural Image Halftoning
73. CVPR 2024Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization
74. CVPR 2024Multiway Point Cloud Mosaicking with Diffusion and Global Optimization
75. CVPR 2024NEAT: Distilling 3D Wireframes from Neural Attraction Fields
76. CVPR 2024POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning
77. CVPR 2024Quantifying Task Priority for Multi-Task Optimization
78. CVPR 2024Re-thinking Data Availability Attacks Against Deep Neural Networks
79. CVPR 2024SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild
80. CVPR 2024Towards Robust Learning to Optimize with Theoretical Guarantees
81. CVPR 2023Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization
82. CVPR 2023Cross-Guided Optimization of Radiance Fields With Multi-View Image Super-Resolution for High-Resolution Novel View Synthesis
83. CVPR 2023Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision
84. CVPR 2023DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
85. CVPR 2023Elastic Aggregation for Federated Optimization
86. CVPR 2023GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency
87. CVPR 2023High-Fidelity 3D GAN Inversion by Pseudo-Multi-View Optimization
88. CVPR 2023LiDAR-in-the-Loop Hyperparameter Optimization
89. CVPR 2023Optimization-Inspired Cross-Attention Transformer for Compressive Sensing
90. CVPR 2023PyPose: A Library for Robot Learning With Physics-Based Optimization
91. CVPR 2023Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
92. CVPR 2023StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer
93. CVPR 2023Towards Better Decision Forests: Forest Alternating Optimization
94. CVPR 2023Transformer-Based Learned Optimization
95. CVPR 2023Tunable Convolutions With Parametric Multi-Loss 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.