理论 · game theory论文趋势 2023–2026

主要结论

• 理论 · game theory论文从 2023 年的 34 篇增长到 2026 年的 126 篇，三年间扩大到约 3.7 倍。
• NeurIPS 是发理论 · game theory论文最多的会议，2023–2026 年共 183 篇，占四个会议总量的 48%。
• 交叉方向里涨得最快的是机制设计：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 19 篇。
• 在「理论与统计」的 5 个主题里，它的 2026 年论文数排第 4；同组增长最快的理论 · learning theory是 5.6 倍，理论 · game theory是 3.7 倍。

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 2026(Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games
• ICLR 2026Infinite Horizon Markov Economies
• CVPR 2026Tackling Model Bias via Game-theoretic Multi-agent Collaboration Framework for Hateful
• NeurIPS 2025AlphaBeta is not as good as you think: a simple random games model for a better analysis of deterministic game-solving algorithms
• ICML 2025A-PSRO: A Unified Strategy Learning Method with Advantage Metric for Normal-form Games
• ICLR 2025A Theory of Initialisation's Impact on Specialisation
• CVPR 2025Dynamic Stereotype Theory Induced Micro-expression Recognition with Oriented Deformation
• NeurIPS 2024Accelerated Regularized Learning in Finite N-Person Games
• ICML 2024A Statistical Theory of Regularization-Based Continual Learning
• ICLR 2024Generative Adversarial Equilibrium Solvers
• CVPR 2024GlitchBench: Can Large Multimodal Models Detect Video Game Glitches?
• NeurIPS 2023$\varepsilon$-fractional core stability in Hedonic Games.
• ICML 2023Auxiliary Learning as an Asymmetric Bargaining Game
• ICLR 2023Computational Language Acquisition with Theory of Mind
• CVPR 2023Improving Generalization With Domain Convex Game
• NeurIPS 2026Agentic AI Design Should be Mediated to Promote Social Welfare
• ICML 2026A Game-Theoretic Analysis of Attacks on Large Language Models via Compositional Skills
• ICLR 2026On Universality of Deep Equivariant Networks
• NeurIPS 2025Approximation theory for 1-Lipschitz ResNets

全部理论 · game theory论文

共 125 篇，第 2 / 3 页

51. ICML 2026Robust Strategic Classification under Decision-Dependent Cost Uncertainty
52. ICML 2026Selling Data as a Digital Good with Scaling Valuations
53. ICML 2026Solving Imperfect-Recall Games via Sum-of-Squares Optimization
54. ICML 2026Strategic Candidacy in Generative AI Arenas
55. ICML 2026The Devil is in the Condition Numbers: Why is GLU Better than non-GLU Structure?
56. ICML 2026The Optimal Sample Complexity of Linear Contracts
57. ICML 2026Theory of Continual Learning Against Data Poisoning Attacks
58. ICML 2026TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
59. ICML 2026Understanding Dynamics of Adam in Zero-Sum Games: An ODE Approach
60. ICML 2026Welfare-Optimal Classification with Accuracy Auctions
61. ICML 2026What Preferences Can—and Cannot—Predict in Multi-Agent Online Learning
62. ICML 2025A Market for Accuracy: Classification Under Competition
63. ICML 2025A-PSRO: A Unified Strategy Learning Method with Advantage Metric for Normal-form Games
64. ICML 2025ADIOS: Antibody Development via Opponent Shaping
65. ICML 2025An Instrumental Value for Data Production and its Application to Data Pricing
66. ICML 2025Anytime-Constrained Equilibria in Polynomial Time
67. ICML 2025Best of Both Worlds: Regret Minimization versus Minimax Play
68. ICML 2025Beyond Self-Interest: How Group Strategies Reshape Content Creation in Recommendation Platforms?
69. ICML 2025Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution
70. ICML 2025Computing Voting Rules with Improvement Feedback
71. ICML 2025Consensus Is All You Get: The Role of Attention in Transformers
72. ICML 2025Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
73. ICML 2025Contract Design Under Approximate Best Responses
74. ICML 2025Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning
75. ICML 2025Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization
76. ICML 2025Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
77. ICML 2025Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability
78. ICML 2025Expected Variational Inequalities
79. ICML 2025Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning
80. ICML 2025Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents
81. ICML 2025Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions
82. ICML 2025Fraud-Proof Revenue Division on Subscription Platforms
83. ICML 2025Generative Social Choice: The Next Generation
84. ICML 2025Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
85. ICML 2025Incorporating Arbitrary Matrix Group Equivariance into KANs
86. ICML 2025Learning to Steer Learners in Games
87. ICML 2025Maintaining Proportional Committees with Dynamic Candidate Sets
88. ICML 2025Modular Duality in Deep Learning
89. ICML 2025Observation Interference in Partially Observable Assistance Games
90. ICML 2025On the Importance of Gaussianizing Representations
91. ICML 2025PDUDT: Provable Decentralized Unlearning under Dynamic Topologies
92. ICML 2025Position: Algebra Unveils Deep Learning - An Invitation to Neuroalgebraic Geometry
93. ICML 2025Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies
94. ICML 2025Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All
95. ICML 2025Procurement Auctions via Approximately Optimal Submodular Optimization
96. ICML 2025Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition
97. ICML 2025Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games
98. ICML 2025Safely Learning Optimal Auctions: A Testable Learning Framework for Mechanism Design
99. ICML 2025Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games
100. ICML 2025Selective Response Strategies for GenAI

常见问题

2023–2026 年四大会议一共有多少篇理论 · game theory论文？

共 384 篇，按年份分别是 2023 年 34 篇、2024 年 107 篇、2025 年 117 篇、2026 年 126 篇。

NeurIPS 2026 有多少篇理论 · game theory论文？

NeurIPS 2026 有 44 篇理论 · game theory论文，上一届是 49 篇。

ICLR 2026 有多少篇理论 · game theory论文？

ICLR 2026 有 20 篇理论 · game theory论文，上一届是 19 篇。

ICML 2026 有多少篇理论 · game theory论文？

ICML 2026 有 61 篇理论 · game theory论文，上一届是 47 篇。

CVPR 2026 有多少篇理论 · game theory论文？

CVPR 2026 有 1 篇理论 · game theory论文，上一届是 2 篇。

哪个会议的理论 · game theory论文最多？

NeurIPS，2023–2026 年共 183 篇。