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The International Conference on Machine Learning

ICML 2025 Accepted Papers - ASSET Center Contributors

  1. Adversarial Reasoning at Jailbreaking Time
    • Sabbaghi, Mahdi, Paul Kassianik, George Pappas, Yaron Singer, Amin Karbasi, Hamed Hassani
  2. (Spotlight) Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
    • Kiyani, Shayan, George Pappas, Aaron Roth, Hamed Hassani
  3. Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization
    • Michael S Yao, James Gee, Osbert Bastani
  4. DOLPHIN: A Programmable Framework for Scalable Neurosymbolic Learning
    • Aaditya Naik, Jason Liu, Claire Wang, Amish Sethi, Saikat Dutta, Mayur Naik, Eric Wong
  5. GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation

    • Jiashu He, Mingyu Ma, Jinxuan Fan, Dan Roth, Wei Wang, Alejandro Ribeiro

  6. Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs
    • Hancheng Min, Rene Vidal
  7. Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery
    • Paris Giampouras, HanQin Cai, Rene Vidal
  8. (Spotlight) High-Dimensional Prediction for Sequential Decision Making 
    • Georgy Noarov, Ramya Ramalingam, Aaron Roth, Stephan Xie
  9. I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts
    • Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna Ballard, Tianlong Chen, Qi Long
  10. Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces
    • Eric Eaton, Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell
  11. Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes
    • Jesse He, Helen Jenne, Herman Chau, Davis Brown, Mark Raugas, Sara C. Billey, Henry Kvinge
  12. (Spotlight) Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics
    • Herman Chau, Helen Jenne, Davis Brown, Jesse He, Mark Raugas, Sara C. Billey, Henry Kvinge 
  13. Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing
    • Jie Peng, Jenna Ballard, Mohan Zhang, Sukwon Yun, Jiayi Xin, Qi Long, Yanyong Zhang, Tianlong Chen
  14. On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning
    • Thomas TCK Zhang, Behrad Moniri, Ansh Nagwekar, Faraz Rahman, Anton Xue, Hamed Hassani, Nikolai Matni
  15. Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures
    • Jie Gao, Rajesh Jayaram, Benedikt Kolbe, Shay Sapir, Chris Schwiegelshohn, Sandeep Silwal, Erik Waingarten
  16. ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding
    • Xingyu Fu, Minqian Liu, Zhengyuan Yang, John Corring, Yijuan Lu, Jianwei Yang, Dan Roth, Dinei Florencio, Cha Zhang
  17. Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
    • Jiancong Xiao, Bojian Hou, Zhanliang Wang, Ruochen Jin, Qi Long, Weijie J. Su, Li Shen
  18. Stochastic Online Conformal Prediction with Semi-Bandit Feedback
    • Haosen Ge, Hamsa Bastani, Osbert Bastani
  19. (Spotlight) Stronger Neyman Regret Guarantees for Adaptive Experimental Design
    • Georgy Noarov, Riccardo Fogliato, Martin Bertran, Aaron Roth
  20. Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups
    • Weiqiu You, Helen Qu, Marco Gatti, Bhuvnesh Jain, Eric Wong
  21. The Relationship between No-Regret Learning and Online Conformal Prediction
    • Ramya Ramalingam, Shayan Kiyani, Aaron Roth
    • Kyurae Kim, Zuheng Xu, Jacob R. Gardner, Trevor Campbell