Nonconvex Optimization papers, 2023–2026
Convergence and landscapes
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 2,330 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 154 | 79 | 98 | 15 | 346 |
| 2024 | 275 | 107 | 160 | 18 | 560 |
| 2025 | 279 | 177 | 192 | 19 | 667 |
| 2026 | 250 | 178 | 286 | 43 | 757 |
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
250 papers, page 5 of 5
- NeurIPS 2026Scaling Optimization-Oriented Hypernetworks for Implicit Neural Representations
- NeurIPS 2026Search at the Cost of Sampling: Nearly-Instant Latent Space Bayesian Optimization
- NeurIPS 2026Select-then-differentiate: Solving Bilevel Optimization with Manifold Lower-level Solution Sets
- NeurIPS 2026Self-Evolution Reasoner: Continuous Optimization via Policy-Intrinsic Exploration and Exploitation
- NeurIPS 2026Sharper Guarantees for Misspecified Kernelized Bandit Optimization
- NeurIPS 2026Sign-Based Optimizers Are Effective Under Heavy-Tailed Noise
- NeurIPS 2026Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks
- NeurIPS 2026Simple Extensions of Single-Objective Acquisition Functions and Hedge Strategies for Multi-Objective Bayesian Optimization
- NeurIPS 2026Skill-Coupled Policy Optimization with Calibrated Group-Wise Advantage Estimation
- NeurIPS 2026Skip the Hessian, Keep the Rates: Globalized Semismooth Newton with Lazy Hessian Updates
- NeurIPS 2026Sliced Wasserstein Meets Quantum Optics: Provable Wavefunctions Tomography with Scarce Noisy Measurements
- NeurIPS 2026SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization
- NeurIPS 2026Solving Stochastic Control under Multiplicative and Internal Noise via Constrained Optimization
- NeurIPS 2026SpecBlock: Block-Iterative Speculative Decoding with Dynamic Tree Drafting
- NeurIPS 2026Spectral Annealing: Normalization-Path Exploration for Large-Scale Ising Optimization
- NeurIPS 2026Stabilizing Policy Optimization via Logits Convexity
- NeurIPS 2026Stable and Granular Policy Optimization for Generative Recommendation
- NeurIPS 2026Stochastic Approximation Approach for Decentralized Optimization on Time Varying Random Networks
- NeurIPS 2026Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization
- NeurIPS 2026Stochastic Optimization with Random Search
- NeurIPS 2026Stochastic Zeroth-Order Optimization Under Heavy-Tailed Noise
- NeurIPS 2026Structure vs. Chaos: Asymmetric Entropic Optimization for Enforcing Instruction Hierarchy
- NeurIPS 2026SWE-Pro: A Benchmark for Evaluating LLMs on Performance-Oriented Repository-Level Optimization
- NeurIPS 2026TagBO: LLM-Driven Task-Aware Graph Bayesian Optimization for Scientific Discovery
- NeurIPS 2026Take It or Leave It: Intent-Controlled Partial Optimal Transport
- NeurIPS 2026Taming the Tails: Why Distributionally Robust Optimization Needs New Theory for Imbalanced Regression
- NeurIPS 2026TEMPO: Temporal Enforcement via Mode-Separated Policy Optimization for Trustworthy LLM Backtesting
- NeurIPS 2026TGPO: Temporal Grounded Policy Optimization for Signal Temporal Logic Tasks
- NeurIPS 2026The Denoising Wrapper: A Modular Post-Processing Framework for Noisy First-Order Optimizers
- NeurIPS 2026The Hidden Power of Scaling Factor in LoRA Optimization
- NeurIPS 2026The Optimization Prior: Instilling depth for shallow networks, detail for coarse networks
- NeurIPS 2026Tight Generalization Bounds for Noiseless Inverse Optimization
- NeurIPS 2026Towards Convergence of PPO: An Approximate Descent Approach
- NeurIPS 2026Towards Hyperparameter Transfer for Differentially Private Optimization
- NeurIPS 2026Towards Settling the Complexity of Non-Euclidean Parallel Convex Optimization
- NeurIPS 2026TPO: Tri-level Distributionally Robust Learning for OOD Direct Preference Optimization
- NeurIPS 2026Training Optimal Large Diffusion Language Models
- NeurIPS 2026Tree-Ensemble Repair through Constrained Optimization
- NeurIPS 2026TROPT: An Open Framework for Unifying and Advancing Discrete Text Optimization
- NeurIPS 2026Truncated Riemannian (1+1)-ES for Black-Box Optimization with Intrinsic Dimension Guarantees
- NeurIPS 2026UECO: A Unified Encoder with Structure-Aware Attention Mixture via Iterative Edge Evolving for Neural Combinatorial Optimization
- NeurIPS 2026Unifying Sparsity and Discreteness: One-Shot Pruning for Quantized LLMs via Discrete Optimization
- NeurIPS 2026Universal Adaptive Proximal Gradient Methods via Gradient Mapping Accumulation
- NeurIPS 2026Variational Active Flow Matching for Discrete Online Black-Box Optimization
- NeurIPS 2026Variational Trajectory Optimization of Anisotropic Diffusion Schedules
- NeurIPS 2026VESPO: Variational Sequence-level Soft Policy Optimization for Off-Policy LLM Training
- NeurIPS 2026Virtual Double Oracle: Faster Convergence by Leveraging Strategies That Were Watching All Along
- NeurIPS 2026VSPO: Vector-Steered Policy Optimization for Controllable Model Behavior
- NeurIPS 2026Why Pass@k Optimization Can Degrade Pass@1: Prompt Interference in LLM Post-Training
- NeurIPS 2026Your Hypergradient is Skewed: Antithetic Neumann Estimation for Bilevel Optimization
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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.