理论 · optimization论文趋势 2023–2026
学习理论及相关:optimization
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 1,871 篇被归入该主题的论文。
主要结论
- 理论 · optimization论文从 2023 年的 123 篇增长到 2026 年的 584 篇,三年间扩大到约 4.7 倍。
- NeurIPS 是发理论 · optimization论文最多的会议,2023–2026 年共 778 篇,占四个会议总量的 42%。
- 交叉方向里涨得最快的是低秩适配:同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 31 篇。
- 在「理论与统计」的 5 个主题里,它的 2026 年论文数排第 1;同组增长最快的理论 · learning theory是 5.6 倍,理论 · optimization是 4.7 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 37 | 46 | 35 | 5 | 123 |
| 2024 | 304 | 123 | 67 | 0 | 494 |
| 2025 | 318 | 196 | 147 | 9 | 670 |
| 2026 | 119 | 244 | 214 | 7 | 584 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- NeurIPS 2026A Mechanistic Investigation of Theory of Mind in a Large Language Model
- ICML 2026A Direct Second-Order Method for Solving Two-Player Zero-Sum Games
- ICLR 2026A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization
- CVPR 2026TriSim Tri-Dimensional Similarity Modeling with Extreme Value Theory for False-Negative
- NeurIPS 20253BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs
- ICML 2025Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes
- ICLR 2025A Coefficient Makes SVRG Effective
- CVPR 2025Dynamic Stereotype Theory Induced Micro-expression Recognition with Oriented Deformation
- NeurIPS 2024A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem
- ICML 2024A Statistical Theory of Regularization-Based Continual Learning
- ICLR 2024A Discretization Framework for Robust Contextual Stochastic Optimization
- NeurIPS 2023[Re] Bandit Theory and Thompson Sampling-guided Directed Evolution for Sequence Optimization
- ICML 2023Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
- ICLR 2023Adaptive Optimization in the $\infty$-Width Limit
- CVPR 2023Deep Hashing With Minimal-Distance-Separated Hash Centers
- NeurIPS 2026Avoiding Obfuscation with Prover-Estimator Debate
- ICML 2026A General Framework for Dynamic Consistent Submodular Maximization
- ICLR 2026A Memory-Efficient Hierarchical Algorithm for Large-scale Optimal Transport Problems
- CVPR 2026FedAdamom Adaptive Momentum for Improved Generalization in Federated Optimization
- NeurIPS 2025A Beyond-Worst-Case Analysis of Greedy k-means++
全部理论 · optimization论文
共 584 篇,第 4 / 12 页
- ICLR 2026Machine Unlearning under Retain–Forget Entanglement
- ICLR 2026MaskCO: Masked Generation Drives Effective Representation Learning and Exploiting for Combinatorial Optimization
- ICLR 2026MILPnet: A Multi-Scale Architecture with Geometric Feature Sequence Representations for Advancing MILP Problems
- ICLR 2026Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware Minimization
- ICLR 2026Monotone Near-Zero-Sum Games: A Generalization of Convex-Concave Minimax
- ICLR 2026MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates
- ICLR 2026Multimodal LLM-assisted Evolutionary Search for Programmatic Control Policies
- ICLR 2026Muon Outperforms Adam in Tail-End Associative Memory Learning
- ICLR 2026MuonBP: Faster Muon via Block-Periodic Orthogonalization
- ICLR 2026Nearly Space-Optimal Graph and Hypergraph Sparsification in Insertion-Only Data Streams
- ICLR 2026Nesterov Finds GRAAL: Optimal and Adaptive Gradient Method for Convex Optimization
- ICLR 2026Neural Collapse in Multi-Task Learning
- ICLR 2026Neural Hamilton--Jacobi Characteristic Flows for Optimal Transport
- ICLR 2026Neural Multi-Objective Combinatorial Optimization for Flexible Job Shop Scheduling Problems
- ICLR 2026Never Saddle: Reparameterized Steepest Descent as Mirror Flow
- ICLR 2026Newton Method Revisited: Global Convergence Rates up to $O(1/k^3)$ for Stepsize Schedules and Linesearch Procedures
- ICLR 2026Non-Asymptotic Analysis of Efficiency in Conformalized Regression
- ICLR 2026Non-Convex Federated Optimization under Cost-Aware Client Selection
- ICLR 2026On Smoothness Bounds for Non-Clairvoyant Scheduling with Predictions
- ICLR 2026On the $O(1/T)$ Convergence of Alternating Gradient Descent–Ascent in Bilinear Games
- ICLR 2026On the Benefits of Weight Normalization for Overparameterized Matrix Sensing
- ICLR 2026On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime
- ICLR 2026On the Convergence Direction of Gradient Descent
- ICLR 2026On the Convergence of Two-Layer Kolmogorov-Arnold Networks with First-Layer Training
- ICLR 2026On The Surprising Effectiveness of a Single Global Merging in Decentralized Learning
- ICLR 2026On Universality of Deep Equivariant Networks
- ICLR 2026Online Decision-Focused Learning
- ICLR 2026Online Inventory Optimization in Non-Stationary Environment
- ICLR 2026Online Minimization of Polarization and Disagreement via Low-Rank Matrix Bandits
- ICLR 2026Operator Theory-Driven Autoformulation of MDPs for Control of Queueing Systems
- ICLR 2026OR-PRM: A Process Reward Model for Algorithmic Problem in Operations Research
- ICLR 2026Overparametrization bends the landscape: BBP transitions at initialization in simple Neural Networks
- ICLR 2026Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers
- ICLR 2026Predictive Differential Training Guided by Training Dynamics
- ICLR 2026Provably Accelerated Imaging with Restarted Inertia and Score-based Image Priors
- ICLR 2026Proving the Limited Scalability of Centralized Distributed Optimization via a New Lower Bound Construction
- ICLR 2026PTQ4ARVG: Post-Training Quantization for AutoRegressive Visual Generation Models
- ICLR 2026Quasi-Equivariant Metanetworks
- ICLR 2026RADAR: Learning to Route with Asymmetry-aware Distance Representations
- ICLR 2026Reasoning Models Can be Accurately Pruned Via Chain-of-Thought Reconstruction
- ICLR 2026Reducing Contextual Stochastic Bilevel Optimization via Structured Function Approximation
- ICLR 2026Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM
- ICLR 2026RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified States
- ICLR 2026Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training
- ICLR 2026Revisiting Sharpness-Aware Minimization: A More Faithful and Effective Implementation
- ICLR 2026Riemannian Federated Learning via Averaging Gradient Streams
- ICLR 2026Riemannian Zeroth-Order Gradient Estimation with Structure-Preserving Metrics for Geodesically Incomplete Manifolds
- ICLR 2026Ringleader ASGD: The First Asynchronous SGD with Optimal Time Complexity under Data Heterogeneity
- ICLR 2026Robust Training of Neural Networks at Arbitrary Precision and Sparsity
- ICLR 2026Saddle-to-Saddle Dynamics Explains A Simplicity Bias Across Neural Network Architectures
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查理论 · optimization在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "theory-optimization"}
常见问题
- 2023–2026 年四大会议一共有多少篇理论 · optimization论文?
- 共 1,871 篇,按年份分别是 2023 年 123 篇、2024 年 494 篇、2025 年 670 篇、2026 年 584 篇。
- NeurIPS 2026 有多少篇理论 · optimization论文?
- NeurIPS 2026 有 119 篇理论 · optimization论文,上一届是 318 篇。
- ICLR 2026 有多少篇理论 · optimization论文?
- ICLR 2026 有 244 篇理论 · optimization论文,上一届是 196 篇。
- ICML 2026 有多少篇理论 · optimization论文?
- ICML 2026 有 214 篇理论 · optimization论文,上一届是 147 篇。
- CVPR 2026 有多少篇理论 · optimization论文?
- CVPR 2026 有 7 篇理论 · optimization论文,上一届是 9 篇。
- 哪个会议的理论 · optimization论文最多?
- NeurIPS,2023–2026 年共 778 篇。