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The International Conference on Machine Learning​

ICML 2026 Accepted Papers - ASSET Center Contributors

  1. Bandit Social Learning with Exploration Episodes
    • Authors: Kiarash Banihashem, Natalie Collina, Aleksandrs Slivkins
  2. Beyond Test-Time Training: Learning to Reason via Hardware-Efficient Optimal Control
    • Authors: Peihao Wang, Shan Yang, Xijun Wang, Tesi Xiao, Xin Liu, Changlong Yu, Yu Lou, Pan Li, Zhangyang Wang, Ming Lin, Rene Vidal
  3. Conformal Risk-Averse Decision Making with Action Conditional Guarantee
    • Authors: Zihan Zhu, Shayan Kiyani, George Pappas, Hamed Hassani
  4. Correctness-Optimized Residual Activation Lens (CORAL): Transferrable and Calibration-Aware Inference-Time Steering
    • Authors: Miranda Muqing Miao, Young Min Cho, Lyle Ungar
  5. Dynamic Regret Bounds for Online Omniprediction with Long Term Constraints
    • Authors: Yahav Bechavod, Jiuyao Lu, Aaron Roth
  6. Emergent Alignment via Competition
    • Authors: Natalie Collina, Surbhi Goel, Aaron Roth, Emily Ryu, Mirah Shi
  7. How does Chain of Thought decompose complex tasks?
    • Authors: Amrut Nadgir, Vijay Balasubramanian, Pratik Chaudhari
  8. Human-AI Collaborative Uncertainty Quantification
    • Authors: Sima Noorani, Shayan Kiyani, George Pappas, Hamed Hassani
  9. Interpretability Can Be Actionable
    • Authors: Hadas Orgad, Fazl Barez, Tal Haklay, Isabelle Lee, Marius Mosbach, Anja Reusch, Naomi Saphra, Byron C. Wallace, Sarah Wiegreffe, Eric Wong, Ian Tenney, Mor Geva
  10. Is Code Better Than Language for Algorithmic Reasoning?
    • Authors: Terry Tong, Yu Feng, Surbhi Goel, Dan Roth
  11. Less Data, Faster Training: repeating smaller datasets speeds up learning via sampling biases
    • Authors: Jingwen Liu, Ezra Edelman, Surbhi Goel, Bingbin Liu
  12. Multiround Human-AI Collaboration with User-Specified Requirements
    • Authors: Sima Noorani, Shayan Kiyani, Hamed Hassani, George Pappas
  13. (Spotlight) Online Conformal Prediction via Universal Portfolio Algorithms
    • Authors: Tuo Liu, Edgar Dobriban, Francesco Orabona
  14. (Spotlight) Optimal Decision-Making Based on Prediction Sets
    • Authors: Tao Wang, Edgar Dobriban
  15. REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations
    • Authors: Buyun Liang, Jinqi Luo, Liangzu Peng, Kwan Ho Ryan Chan, Darshan Thaker, Kaleab A Kinfu, Fengrui Tian, Hamed Hassani, Rene Vidal
  16. Recurrent Equivariant Constraint Modulation: Learning Per-Layer Symmetry Relaxation from Data
    • Authors: Stefanos Pertigkiozoglou, Mircea Petrache, Shubhendu Trivedi, Kostas Daniilidis
  17. Selective Disclosure Watermarking for Large Language Models
    • Authors: Xuyang Chen, Xiang Li, Yangxinyu Xie, Qi Long
  18. Statistical Early Stopping for Reasoning Models
    • Authors: Yangxinyu Xie, Tao Wang, Soham Mallick, Yan Sun, Georgy Noarov, Mengxin Yu, Tanwi Mallick, Weijie J. Su, Edgar Dobriban
  19. Statistical Inference Leveraging Synthetic Data with Distribution-Free Guarantees
    • Authors: Meshi Bashari, Yonghoon Lee, Roy Maor Lotan, Edgar Dobriban, Yaniv Romano
  20. The Crowded Embedding Space: A Mean-Field Mechanism for Emergent Marginalization in Retrieval-Augmented Agents
    • Authors: Shwan Ashrafi, Dan Roth
  21. (Spotlight) Theory-Level Autoformalization: From Isolated Statements to Unified Formal Knowledge Bases
    • Authors: Marcus J. Min, Mike He, Zhaoyu Li, Zixuan Yi, Sharad Malik, Aarti Gupta, Xujie Si, Osbert Bastani
  22. TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance
    • Authors: Yuyang Liu, Chuan Wen, Yihang Hu, Dinesh Jayaraman, Yang Gao
  23. Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs
    • Authors: Hongkang Li, Hancheng Min, Rene Vidal
  24. (Spotlight) When to Trust the Cheap Check: Weak and Strong Verification for Reasoning
    • Authors: Shayan Kiyani, Sima Noorani, George Pappas, Hamed Hassani