Theory · game theory papers, 2023–2026
Theory area: game_theory
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 384 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 14 | 13 | 4 | 3 | 34 |
| 2024 | 76 | 17 | 13 | 1 | 107 |
| 2025 | 49 | 19 | 47 | 2 | 117 |
| 2026 | 44 | 20 | 61 | 1 | 126 |
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
107 papers, page 1 of 3
- CVPR 2024GlitchBench: Can Large Multimodal Models Detect Video Game Glitches?
- ICLR 2024A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER
- ICLR 2024Adversarial Training Should Be Cast as a Non-Zero-Sum Game
- ICLR 2024Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization
- ICLR 2024Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate
- ICLR 2024Efficient Inverse Multiagent Learning
- ICLR 2024Expected flow networks in stochastic environments and two-player zero-sum games
- ICLR 2024Generative Adversarial Equilibrium Solvers
- ICLR 2024How to Capture Higher-order Correlations? Generalizing Matrix Softmax Attention to Kronecker Computation
- ICLR 2024NfgTransformer: Equivariant Representation Learning for Normal-form Games
- ICLR 2024Noisy Interpolation Learning with Shallow Univariate ReLU Networks
- ICLR 2024OPTIMAL ROBUST MEMORIZATION WITH RELU NEURAL NETWORKS
- ICLR 2024Optimal Sample Complexity of Contrastive Learning
- ICLR 2024Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight
- ICLR 2024Symmetric Single Index Learning
- ICLR 2024The Consensus Game: Language Model Generation via Equilibrium Search
- ICLR 2024The Human-AI Substitution game: active learning from a strategic labeler
- ICLR 2024Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games
- ICML 2024A Statistical Theory of Regularization-Based Continual Learning
- ICML 2024A Theory of Fault-Tolerant Learning
- ICML 2024Explaining Probabilistic Models with Distributional Values
- ICML 2024Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
- ICML 2024Minimum Norm Interpolation Meets The Local Theory of Banach Spaces
- ICML 2024On Statistical Learning Theory for Distributional Inputs
- ICML 2024Open Ad Hoc Teamwork with Cooperative Game Theory
- ICML 2024Position: Categorical Deep Learning is an Algebraic Theory of All Architectures
- ICML 2024Random matrix theory improved Fréchet mean of symmetric positive definite matrices
- ICML 2024Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective
- ICML 2024Sequential Kernel Goodness-of-fit Testing
- ICML 2024Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach
- ICML 2024Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models
- NeurIPS 2024Accelerated Regularized Learning in Finite N-Person Games
- NeurIPS 2024Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play
- NeurIPS 2024Addressing Bias in Online Selection with Limited Budget of Comparisons
- NeurIPS 2024Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction
- NeurIPS 2024Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency
- NeurIPS 2024Axioms for AI Alignment from Human Feedback
- NeurIPS 2024Bandits with Preference Feedback: A Stackelberg Game Perspective
- NeurIPS 2024Bayesian Strategic Classification
- NeurIPS 2024Bias Detection via Signaling
- NeurIPS 2024Carrot and Stick: Eliciting Comparison Data and Beyond
- NeurIPS 2024Computational Aspects of Bayesian Persuasion under Approximate Best Response
- NeurIPS 2024Contracting with a Learning Agent
- NeurIPS 2024Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound
- NeurIPS 2024Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis
- NeurIPS 2024Convergence of No-Swap-Regret Dynamics in Self-Play
- NeurIPS 2024Credal Learning Theory
- NeurIPS 2024Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions
- NeurIPS 2024Distribution Learning with Valid Outputs Beyond the Worst-Case
- NeurIPS 2024Dueling over Dessert, Mastering the Art of Repeated Cake Cutting
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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.