理论 · game theory论文趋势 2023–2026

学习理论及相关:game_theory

统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 384 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

理论 · game theory论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
202314134334
20247617131107
20254919472117
20264420611126

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

全部理论 · game theory论文

共 384 篇,第 5 / 8 页

  1. NeurIPS 2025Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles
  2. NeurIPS 2025Cyclic Counterfactuals under Shift–Scale Interventions
  3. NeurIPS 2025Disentangling Hyperedges through the Lens of Category Theory
  4. NeurIPS 2025Do Neural Networks Need Gradient Descent to Generalize? A Theoretical Study
  5. NeurIPS 2025Efficient Kernelized Learning in Polyhedral Games beyond Full Information: From Colonel Blotto to Congestion Games
  6. NeurIPS 2025Evolutionary Prediction Games
  7. NeurIPS 2025Explaining the Law of Supply and Demand via Online Learning
  8. NeurIPS 2025GUARD: Constructing Realistic Two-Player Matrix and Security Games for Benchmarking Game-Theoretic Algorithms
  9. NeurIPS 2025How Particle System Theory Enhances Hypergraph Message Passing
  10. NeurIPS 2025Incentivizing Time-Aware Fairness in Data Sharing
  11. NeurIPS 2025Last Iterate Convergence in Monotone Mean Field Games
  12. NeurIPS 2025Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria
  13. NeurIPS 2025Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis
  14. NeurIPS 2025Learning-Augmented Facility Location Mechanisms for the Envy Ratio Objective
  15. NeurIPS 2025LLM Strategic Reasoning: Agentic Study through Behavioral Game Theory
  16. NeurIPS 2025Machine Unlearning under Overparameterization
  17. NeurIPS 2025Marginal-Nonuniform PAC Learnability
  18. NeurIPS 2025Modeling the Economic Impacts of AI Openness Regulation
  19. NeurIPS 2025Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration
  20. NeurIPS 2025Multiplayer Federated Learning: Reaching Equilibrium with Less Communication
  21. NeurIPS 2025Non-Stationary Lipschitz Bandits
  22. NeurIPS 2025On Universality Classes of Equivariant Networks
  23. NeurIPS 2025Parsimonious Predictions for Strategyproof Scheduling
  24. NeurIPS 2025Replicable Distribution Testing
  25. NeurIPS 2025Robust Equilibria in Continuous Games: From Strategic to Dynamic Robustness
  26. NeurIPS 2025Robustly Learning Monotone Single-Index Models
  27. NeurIPS 2025SHAP Meets Tensor Networks: Provably Tractable Explanations with Parallelism
  28. NeurIPS 2025Sharp Matrix Empirical Bernstein Inequalities
  29. NeurIPS 2025Small Singular Values Matter: A Random Matrix Analysis of Transformer Models
  30. NeurIPS 2025Smoothed Agnostic Learning of Halfspaces over the Hypercube
  31. NeurIPS 2025Solving Neural Min-Max Games: The Role of Architecture, Initialization & Dynamics
  32. NeurIPS 2025Stackelberg Learning with Outcome-based Payment
  33. NeurIPS 2025Strategic Cost Selection in Participatory Budgeting
  34. NeurIPS 2025Strategic Hypothesis Testing
  35. NeurIPS 2025The Complexity of Correlated Equilibria in Generalized Games
  36. NeurIPS 2025The Computational Complexity of Counting Linear Regions in ReLU Neural Networks
  37. NeurIPS 2025The Good, the Bad and the Ugly: Meta-Analysis of Watermarks, Transferable Attacks and Adversarial Defenses
  38. NeurIPS 2025TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning
  39. NeurIPS 2025Two Heads are Better than One: Simulating Large Transformers with Small Ones
  40. NeurIPS 2025Unbalanced Optimal Total Variation Transport: A Theoretical Approach to Spatial Resource Allocation Problems
  41. NeurIPS 2025Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback
  42. NeurIPS 2025What Expressivity Theory Misses: Message Passing Complexity for GNNs
  43. NeurIPS 2025When Does Curriculum Learning Help? A Theoretical Perspective
  44. CVPR 2024GlitchBench: Can Large Multimodal Models Detect Video Game Glitches?
  45. ICLR 2024A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER
  46. ICLR 2024Adversarial Training Should Be Cast as a Non-Zero-Sum Game
  47. ICLR 2024Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization
  48. ICLR 2024Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate
  49. ICLR 2024Efficient Inverse Multiagent Learning
  50. ICLR 2024Expected flow networks in stochastic environments and two-player zero-sum games

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用 paperlist 查理论 · game theory在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?

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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。

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