Theory · game theory papers, 2023–2026

Key findings

• Theory · game theory went from 34 papers in 2023 to 126 in 2026, roughly 3.7x in three years.
• NeurIPS publishes the most Theory · game theory work: 183 papers from 2023 to 2026, 48% of the four-venue total.
• The fastest-growing overlap is with Mechanism Design: papers tagged with both rose from 1 in 2023 to 19 in 2026.
• Among the 5 topics under Theory and Statistics, it ranks #4 by 2026 paper count; the fastest grower in the group, Theory · learning theory, is up 5.6x versus 3.7x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Theory · game theory papers

384 papers, page 6 of 8

251. ICLR 2024Generative Adversarial Equilibrium Solvers
252. ICLR 2024How to Capture Higher-order Correlations? Generalizing Matrix Softmax Attention to Kronecker Computation
253. ICLR 2024NfgTransformer: Equivariant Representation Learning for Normal-form Games
254. ICLR 2024Noisy Interpolation Learning with Shallow Univariate ReLU Networks
255. ICLR 2024OPTIMAL ROBUST MEMORIZATION WITH RELU NEURAL NETWORKS
256. ICLR 2024Optimal Sample Complexity of Contrastive Learning
257. ICLR 2024Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight
258. ICLR 2024Symmetric Single Index Learning
259. ICLR 2024The Consensus Game: Language Model Generation via Equilibrium Search
260. ICLR 2024The Human-AI Substitution game: active learning from a strategic labeler
261. ICLR 2024Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games
262. ICML 2024A Statistical Theory of Regularization-Based Continual Learning
263. ICML 2024A Theory of Fault-Tolerant Learning
264. ICML 2024Explaining Probabilistic Models with Distributional Values
265. ICML 2024Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
266. ICML 2024Minimum Norm Interpolation Meets The Local Theory of Banach Spaces
267. ICML 2024On Statistical Learning Theory for Distributional Inputs
268. ICML 2024Open Ad Hoc Teamwork with Cooperative Game Theory
269. ICML 2024Position: Categorical Deep Learning is an Algebraic Theory of All Architectures
270. ICML 2024Random matrix theory improved Fréchet mean of symmetric positive definite matrices
271. ICML 2024Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective
272. ICML 2024Sequential Kernel Goodness-of-fit Testing
273. ICML 2024Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach
274. ICML 2024Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models
275. NeurIPS 2024Accelerated Regularized Learning in Finite N-Person Games
276. NeurIPS 2024Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play
277. NeurIPS 2024Addressing Bias in Online Selection with Limited Budget of Comparisons
278. NeurIPS 2024Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction
279. NeurIPS 2024Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency
280. NeurIPS 2024Axioms for AI Alignment from Human Feedback
281. NeurIPS 2024Bandits with Preference Feedback: A Stackelberg Game Perspective
282. NeurIPS 2024Bayesian Strategic Classification
283. NeurIPS 2024Bias Detection via Signaling
284. NeurIPS 2024Carrot and Stick: Eliciting Comparison Data and Beyond
285. NeurIPS 2024Computational Aspects of Bayesian Persuasion under Approximate Best Response
286. NeurIPS 2024Contracting with a Learning Agent
287. NeurIPS 2024Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound
288. NeurIPS 2024Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis
289. NeurIPS 2024Convergence of No-Swap-Regret Dynamics in Self-Play
290. NeurIPS 2024Credal Learning Theory
291. NeurIPS 2024Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions
292. NeurIPS 2024Distribution Learning with Valid Outputs Beyond the Worst-Case
293. NeurIPS 2024Dueling over Dessert, Mastering the Art of Repeated Cake Cutting
294. NeurIPS 2024EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas
295. NeurIPS 2024Efficiency of the First-Price Auction in the Autobidding World
296. NeurIPS 2024Efficient $\Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games
297. NeurIPS 2024Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game
298. NeurIPS 2024Extensive-Form Game Solving via Blackwell Approachability on Treeplexes
299. NeurIPS 2024Fair Allocation in Dynamic Mechanism Design
300. NeurIPS 2024Fairness and Efficiency in Online Class Matching

FAQ

How many Theory · game theory papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

384 in total: 34 in 2023, 107 in 2024, 117 in 2025, 126 in 2026.

How many Theory · game theory papers are at NeurIPS 2026?

NeurIPS 2026 has 44 Theory · game theory papers, versus 49 the year before.

How many Theory · game theory papers are at ICLR 2026?

ICLR 2026 has 20 Theory · game theory papers, versus 19 the year before.

How many Theory · game theory papers are at ICML 2026?

ICML 2026 has 61 Theory · game theory papers, versus 47 the year before.

How many Theory · game theory papers are at CVPR 2026?

CVPR 2026 has 1 Theory · game theory papers, versus 2 the year before.

Which conference publishes the most Theory · game theory papers?

NeurIPS, with 183 papers from 2023 to 2026.