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 42 of 47

2051. ICLR 2023Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
2052. ICLR 2023Parallel Deep Neural Networks Have Zero Duality Gap
2053. ICLR 2023Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
2054. ICLR 2023Population-size-Aware Policy Optimization for Mean-Field Games
2055. ICLR 2023Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
2056. ICLR 2023Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property
2057. ICLR 2023RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates
2058. ICLR 2023Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
2059. ICLR 2023Restricted Strong Convexity of Deep Learning Models with Smooth Activations
2060. ICLR 2023Robust Scheduling with GFlowNets
2061. ICLR 2023Semi-Implicit Variational Inference via Score Matching
2062. ICLR 2023SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization
2063. ICLR 2023Single-shot General Hyper-parameter Optimization for Federated Learning
2064. ICLR 2023Solving stochastic weak Minty variational inequalities without increasing batch size
2065. ICLR 2023Stochastic Differentially Private and Fair Learning
2066. ICLR 2023SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication
2067. ICLR 2023Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
2068. ICLR 2023The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
2069. ICLR 2023TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization
2070. ICLR 2023Topology-aware Robust Optimization for Out-of-Distribution Generalization
2071. ICLR 2023Towards convergence to Nash equilibria in two-team zero-sum games
2072. ICLR 2023Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
2073. ICLR 2023Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
2074. ICLR 2023Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
2075. ICLR 2023Unsupervised Learning for Combinatorial Optimization Needs Meta Learning
2076. ICLR 2023What Is Missing in IRM Training and Evaluation? Challenges and Solutions
2077. ICLR 2023Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms
2078. ICLR 2023Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation
2079. ICML 2023A Distribution Optimization Framework for Confidence Bounds of Risk Measures
2080. ICML 2023A Fully First-Order Method for Stochastic Bilevel Optimization
2081. ICML 2023A Theoretical Analysis of the Learning Dynamics under Class Imbalance
2082. ICML 2023Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization
2083. ICML 2023Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations
2084. ICML 2023Accelerated Stochastic Optimization Methods under Quasar-convexity
2085. ICML 2023Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift
2086. ICML 2023Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation
2087. ICML 2023Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
2088. ICML 2023Automatically Auditing Large Language Models via Discrete Optimization
2089. ICML 2023Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
2090. ICML 2023Bandit Online Linear Optimization with Hints and Queries
2091. ICML 2023Best of Both Worlds Policy Optimization
2092. ICML 2023Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization
2093. ICML 2023Beyond Uniform Lipschitz Condition in Differentially Private Optimization
2094. ICML 2023Bilevel Optimization with Coupled Decision-Dependent Distributions
2095. ICML 2023Bit Allocation using Optimization
2096. ICML 2023Buying Information for Stochastic Optimization
2097. ICML 2023CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
2098. ICML 2023Competitive Gradient Optimization
2099. ICML 2023Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
2100. ICML 2023Constrained Causal Bayesian 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.