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

Papers per year

Papers per venue

Counts by year and venue

Theory · game theory papers by year and venue
YearNeurIPSICLRICMLCVPRTotal
202314134334
20247617131107
20254919472117
20264420611126

Representative papers

Spread across years and venues so every edition shows up

All Theory · game theory papers

384 papers, page 2 of 8

  1. ICML 2026Is Spurious Correlation Removal Always Learnable?
  2. ICML 2026Knowing Who, Not How Much: Learning-Augmented Mechanisms for Consumer Utility Maximization
  3. ICML 2026Last-Iterate Convergence of Regularized Gradient Methods for Stochastic Monotone Variational Inequalities
  4. ICML 2026Learning in Bayesian Stackelberg Games With Unknown Follower's Types
  5. ICML 2026Learning in Structured Stackelberg Games
  6. ICML 2026Learning Unanimously Acceptable Lotteries via Queries
  7. ICML 2026Maximin Relative Improvement: Fair Learning as a Bargaining Problem
  8. ICML 2026Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes?
  9. ICML 2026Multi-Level Strategic Classification: Incentivizing Improvement through Promotion and Relegation Dynamics
  10. ICML 2026Multicalibration Yields Better Matchings
  11. ICML 2026Nash Equilibria in Games with Playerwise Concave Coupling Constraints: Existence and Computation
  12. ICML 2026On Expressive Power of Floating-Point Transformers
  13. ICML 2026On the Coordination of Value-Maximizing Bidders
  14. ICML 2026Online Contract Design With Unknown Technology
  15. ICML 2026Online Fair Division with Additional Information
  16. ICML 2026Optimal Rates for Feasible Payoff Set Estimation in Games
  17. ICML 2026Overcoming the Incentive Collapse Paradox
  18. ICML 2026Performative Learning Theory
  19. ICML 2026Population-Aware Imitation Learning in Mean-field Games with Common Noise
  20. ICML 2026Revisiting the Bertrand Paradox via Equilibrium Analysis of No-regret Learners
  21. ICML 2026Risk-Averse and Optimistic Advertiser Incentive Compatibility in Auto-bidding
  22. ICML 2026Robust Strategic Classification under Decision-Dependent Cost Uncertainty
  23. ICML 2026Selling Data as a Digital Good with Scaling Valuations
  24. ICML 2026Solving Imperfect-Recall Games via Sum-of-Squares Optimization
  25. ICML 2026Strategic Candidacy in Generative AI Arenas
  26. ICML 2026The Devil is in the Condition Numbers: Why is GLU Better than non-GLU Structure?
  27. ICML 2026The Optimal Sample Complexity of Linear Contracts
  28. ICML 2026Theory of Continual Learning Against Data Poisoning Attacks
  29. ICML 2026TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
  30. ICML 2026Understanding Dynamics of Adam in Zero-Sum Games: An ODE Approach
  31. ICML 2026Welfare-Optimal Classification with Accuracy Auctions
  32. ICML 2026What Preferences Can—and Cannot—Predict in Multi-Agent Online Learning
  33. NeurIPS 2026A Mechanistic Investigation of Theory of Mind in a Large Language Model
  34. NeurIPS 2026Agentic AI Design Should be Mediated to Promote Social Welfare
  35. NeurIPS 2026Algorithms for Linear Equations with Min and Max Operators Under (Absolutely) Halting Condition
  36. NeurIPS 2026Approximate Envy-Free Allocations up to any k Goods
  37. NeurIPS 2026Avoiding Obfuscation with Prover-Estimator Debate
  38. NeurIPS 2026CEO-Bench: Can Agents Play the Long Game?
  39. NeurIPS 2026Chess-World-Model: A 10M-Game Benchmark for Exact State Tracking from Chess Move Sequences
  40. NeurIPS 2026DeepVoting: Learning and Improving Voting Rules with Fine-Tuning
  41. NeurIPS 2026Estimating Implicit Regularization in Deep Learning
  42. NeurIPS 2026Extending Myerson's Optimal Auctions to Correlated Bidders via Neural Network Interpolation
  43. NeurIPS 2026Generating in the Limit with Infinitely Many Hallucinations
  44. NeurIPS 2026GoT: A Game-Theoretic Approach to the Game of Twenty Questions
  45. NeurIPS 2026GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
  46. NeurIPS 2026High dimensional theory of two-phase optimizers
  47. NeurIPS 2026How to Have a Sensitive Debate
  48. NeurIPS 2026Learning Acceptable Lotteries via Queries: Minimizing Aggregated Violation Distances
  49. NeurIPS 2026Learning Lotteries with Minimal Violations from Membership Queries
  50. NeurIPS 2026Learning to Price with Persuasion

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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.

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