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

958 papers, page 12 of 20

551. NeurIPS 2024An effective framework for estimating individualized treatment rules
552. NeurIPS 2024An Improved Empirical Fisher Approximation for Natural Gradient Descent
553. NeurIPS 2024Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training
554. NeurIPS 2024Approximating the Top Eigenvector in Random Order Streams
555. NeurIPS 2024Autoregressive Policy Optimization for Constrained Allocation Tasks
556. NeurIPS 2024B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data
557. NeurIPS 2024BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models
558. NeurIPS 2024Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization
559. NeurIPS 2024Bayesian Optimization of Functions over Node Subsets in Graphs
560. NeurIPS 2024Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
561. NeurIPS 2024Benign overfitting in leaky ReLU networks with moderate input dimension
562. NeurIPS 2024Binary Search with Distributional Predictions
563. NeurIPS 2024BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
564. NeurIPS 2024Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences
565. NeurIPS 2024Can Learned Optimization Make Reinforcement Learning Less Difficult?
566. NeurIPS 2024CoBo: Collaborative Learning via Bilevel Optimization
567. NeurIPS 2024Communication Efficient Distributed Training with Distributed Lion
568. NeurIPS 2024Communication-Efficient Federated Group Distributionally Robust Optimization
569. NeurIPS 2024Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
570. NeurIPS 2024Conformal Inverse Optimization
571. NeurIPS 2024Constrained Binary Decision Making
572. NeurIPS 2024Constrained Diffusion Models via Dual Training
573. NeurIPS 2024Contextual Linear Optimization with Bandit Feedback
574. NeurIPS 2024Controlling Continuous Relaxation for Combinatorial Optimization
575. NeurIPS 2024Convergence Analysis of Split Federated Learning on Heterogeneous Data
576. NeurIPS 2024Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods
577. NeurIPS 2024CRAYM: Neural Field Optimization via Camera RAY Matching
578. NeurIPS 2024Decision-Focused Learning with Directional Gradients
579. NeurIPS 2024Deep Learning for Computing Convergence Rates of Markov Chains
580. NeurIPS 2024Deep linear networks for regression are implicitly regularized towards flat minima
581. NeurIPS 2024DePLM: Denoising Protein Language Models for Property Optimization
582. NeurIPS 2024Derivatives of Stochastic Gradient Descent in parametric optimization
583. NeurIPS 2024DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization
584. NeurIPS 2024Diffeomorphic interpolation for efficient persistence-based topological optimization
585. NeurIPS 2024Differentially Private Optimization with Sparse Gradients
586. NeurIPS 2024Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
587. NeurIPS 2024DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
588. NeurIPS 2024Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits
589. NeurIPS 2024Directional Smoothness and Gradient Methods: Convergence and Adaptivity
590. NeurIPS 2024Discovering Preference Optimization Algorithms with and for Large Language Models
591. NeurIPS 2024Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization
592. NeurIPS 2024Disentangling Linear Quadratic Control with Untrusted ML Predictions
593. NeurIPS 2024Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences
594. NeurIPS 2024Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization
595. NeurIPS 2024Dual Lagrangian Learning for Conic Optimization
596. NeurIPS 2024Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss
597. NeurIPS 2024e-COP : Episodic Constrained Optimization of Policies
598. NeurIPS 2024Efficient Combinatorial Optimization via Heat Diffusion
599. NeurIPS 2024Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability
600. NeurIPS 2024Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained 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.