* equal contribution

  • R. S. Boger, S. Chithrananda, A. N. Angelopoulos, P. H. Yoon, M. I. Jordan, J. A. Doudna
Functional Protein Mining with Conformal Guarantees. bioRxiv, 2024. In second round of review, Nature Communications. Cold Spring Harbor Laboratory.
  @article{boger2024functional,
    title={Functional Protein Mining with Conformal Guarantees},
    author={Boger, R. S. and Chithrananda, S. and Angelopoulos, A. N. and Yoon, P. H. and Jordan, M. I. and Doudna, J. A.},
    journal={bioRxiv},
    year={2024},
    publisher={Cold Spring Harbor Laboratory},
    note={In second round of review, Nature Communications}
  }
          

  • V. Blot, A. N. Angelopoulos, M. I. Jordan, N. J. B. Brunel
Automatically Adaptive Conformal Risk Control. arXiv preprint arXiv:2406.17819, 2024.
  @article{blot2024automatically,
    title={Automatically Adaptive Conformal Risk Control},
    author={Blot, V. and Angelopoulos, A. N. and Jordan, M. I. and Brunel, N. J. B.},
    journal={arXiv preprint arXiv:2406.17819},
    year={2024}
  }
          

  • W. L. Chiang*, L. Zheng*, Y. Sheng, A. N. Angelopoulos, T. Li, D. Li, H. Zhang, B. Zhu, M. Jordan, J. E. Gonzalez, I. Stoica
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. International Conference on Machine Learning, 2024.
  @article{chiang2024chatbot,
    title={Chatbot Arena: An Open Platform for Evaluating {LLMs} by Human Preference},
    author={Chiang, W. L. and Zheng, L. and Sheng, Y. and Angelopoulos, A. N. and Li, T. and Li, D. and Zhang, H. and Zhu, B. and Jordan, M. and Gonzalez, J. E. and Stoica, I.},
    journal={International Conference on Machine Learning},
    year={2024}
  }
          

  • P. Boyeau, A. N. Angelopoulos, N. Yosef, J. Malik, M. I. Jordan
AutoEval Done Right: Using Synthetic Data for Model Evaluation. arXiv preprint arXiv:2403.07008, 2024.
  @article{boyeau2024autoeval,
    title={AutoEval Done Right: Using Synthetic Data for Model Evaluation},
    author={Boyeau, P. and Angelopoulos, A. N. and Yosef, N. and Malik, J. and Jordan, M. I.},
    journal={arXiv preprint arXiv:2403.07008},
    year={2024}
  }
          

  • D. T. Nguyen*, R. Pathak*, A. N. Angelopoulos, S. Bates, M. I. Jordan
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction. arXiv preprint arXiv:2403.19605, 2024.
  @article{nguyen2024data,
    title={Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction},
    author={Nguyen, D. T. and Pathak, R. and Angelopoulos, A. N. and Bates, S. and Jordan, M. I.},
    journal={arXiv preprint arXiv:2403.19605},
    year={2024}
  }
          

  • A. N. Angelopoulos*, S. R. Pomerantz*, S. Do*, S. Bates, C. P. Bridge, D. C. Elton, M. H. Lev, R. G. Gonzalez, M. I. Jordan, J. Malik
Conformal Triage for Medical Imaging AI Deployment. medRxiv, 2024. Cold Spring Harbor Laboratory Press.
  @article{angelopoulos2024conformal,
    title={Conformal Triage for Medical Imaging {AI} Deployment},
    author={Angelopoulos, A. N. and Pomerantz, S. R. and Do, S. and Bates, S. and Bridge, C. P. and Elton, D. C. and Lev, M. H. and Gonzalez, R. G. and Jordan, M. I. and Malik, J.},
    journal={medRxiv},
    year={2024},
    publisher={Cold Spring Harbor Laboratory Press}
  }
          

  • A. N. Angelopoulos*, R. F. Barber*, S. Bates*
Online Conformal Prediction with Decaying Step Sizes. International Conference on Machine Learning, 2024.
  @article{angelopoulos2024online,
    title={Online Conformal Prediction with Decaying Step Sizes},
    author={Angelopoulos, A. N. and Barber, R. F. and Bates, S.},
    journal={International Conference on Machine Learning},
    year={2024}
  }
          

  • A. P. S. Kohli*, A. N. Angelopoulos*, L. Waller
Wavefront Randomization Improves Deconvolution. arXiv preprint arXiv:2402.07900, 2024.
  @article{kohli2024wavefront,
    title={Wavefront Randomization Improves Deconvolution},
    author={Kohli, A. P. S. and Angelopoulos, A. N. and Waller, L.},
    journal={arXiv preprint arXiv:2402.07900},
    year={2024}
  }
          

  • A. N. Angelopoulos
Note on Full Conformal Risk Control. 2024.
@article{angelopoulos2023fullrisk,
  title={Note on Full Conformal Risk Control},
  author={Angelopoulos, Anastasios N},
  journal={Online Note.},
  year={2023},
  url={https://people.eecs.berkeley.edu/~angelopoulos/publications/working_papers/full-risk.pdf}
}
							

  • B. S. Einbinder
  • S. Bates
  • A. N. Angelopoulos
  • A. Gendler
  • Y. Romano
Conformal Prediction is Robust to Dispersive Label Noise. COPA 2023, JMLR 2024.

  • A. N. Angelopoulos
  • S. Bates
  • A. Fisch
  • L. Lei
  • T. Schuster
Conformal Risk Control. ICLR 2024.

  • A. N. Angelopoulos*
  • J. C. Duchi*
  • T. Zrnic*
PPI++: Efficient prediction-powered inference. 2023.
@article{angelopoulos2023ppi,
  title={PPI++: Efficient prediction-powered inference},
  author={Angelopoulos, Anastasios N and Duchi, John C and Zrnic, Tijana},
  journal={arXiv preprint arXiv:2311.01453},
  year={2023}
}
							

  • C. T. Ye
  • J. Han
  • K. Liu
  • A. N. Angelopoulos
  • L. Griffith
  • K. Monakhova
  • S. You
Learned, Uncertainty-driven Adaptive Acquisition for Photon-Efficient Multiphoton Microscopy. 2023.
@article{ye2023learned,
  title={Learned, Uncertainty-driven Adaptive Acquisition for Photon-Efficient Multiphoton Microscopy},
  author={Ye, Cassandra Tong and Han, Jiashu and Liu, Kunzan and Angelopoulos, Anastasios and Griffith, Linda and Monakhova, Kristina and You, Sixian},
  journal={arXiv preprint arXiv:2310.16102},
  year={2023}
}
							

  • R. Huang*
  • S. Sharma*
  • A. Loquercio*
  • A. N. Angelopoulos
  • K. Goldberg
  • J. Malik
Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts. 2023.
@article{huang2023conformal,
  title={Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts},
  author={Huang, Huang and Sharma, Satvik and Loquercio, Antonio and Angelopoulos, Anastasios and Goldberg, Ken and Malik, Jitendra},
  journal={arXiv preprint arXiv:2311.01457},
  year={2023}
}
							

  • J. Lekeufack*
  • A. N. Angelopoulos*
  • A. Bajcsy*
  • M. I. Jordan**
  • J. Malik**
Conformal Decision Theory: Safe Autonomous Decisions with Imperfect Predictions. International Conference on Robotics and Automation, ICRA 2024.
@article{lekeufack2023conformal,
  title={Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions},
  author={Lekeufack, Jordan and Angelopoulos, Anastasios N and Bajcsy, Andrea and Jordan, Michael I. and Malik, Jitendra},
  journal={arXiv preprint arXiv:2310.05921},
  year={2023}
}
							

  • A. N. Angelopoulos
  • E. J. Candès
  • R. J. Tibshirani
Conformal PID Control for Time-Series Prediction. NeurIPS 2023.
@article{angelopoulos2023conformal,
  title={Conformal PID Control for Time Series Prediction},
  author={Angelopoulos, Anastasios N and Candes, Emmanuel J and Tibshirani, Ryan J},
  journal={Neural Information Processing Systems},
  year={2023}
}
							

  • T. Ding
  • A. N. Angelopoulos
  • S. Bates
  • M. I. Jordan
  • R. J. Tibshirani
Class-Conditional Conformal Prediction With Many Classes. NeurIPS 2023.
@article{ding2023class,
  title={Class-Conditional Conformal Prediction With Many Classes},
  author={Ding, Tiffany and Angelopoulos, Anastasios N and Bates, Stephen and Jordan, Michael I and Tibshirani, Ryan J},
  journal={Neural Information Processing Systems},
  year={2023}
}
							

  • A. N. Angelopoulos
  • S. Bates
Conformal Prediction: A Gentle Introduction. Foundations and Trends® in Machine Learning. 2023. [FnTML]
@article{MAL-101,
	author = {Anastasios N. Angelopoulos and Stephen Bates},
	doi = {10.1561/2200000101},
	issn = {1935-8237},
	journal = {Foundations and Trends{\textregistered} in Machine Learning},
	number = {4},
	pages = {494-591},
	title = {Conformal Prediction: A Gentle Introduction},
	url = {http://dx.doi.org/10.1561/2200000101},
	volume = {16},
	year = {2023},
	bdsk-url-1 = {http://dx.doi.org/10.1561/2200000101}
}
							

  • A. N. Angelopoulos*
  • S. Bates*
  • C. Fannjiang*
  • M. I. Jordan*
  • T. Zrnic*
Prediction-Powered Inference. Science. 2023.

  • S. Sankaranarayanan
  • A. N. Angelopoulos
  • S. Bates
  • Y. Romano
  • P. Isola
Semantic uncertainty intervals for disentangled latent spaces. NeurIPS 2022.

  • Charles Lu*
  • A. N. Angelopoulos*
  • Stuart Pomerantz
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets. Conference of the Medical Image Computing and Computer Assisted Intervention Society (MICCAI). 2022.

  • A. N. Angelopoulos*
  • Karl Krauth*
  • Stephen Bates
  • Yixin Wang
  • Michael I. Jordan
Recommendation Systems with Distribution-Free Reliability Guarantees. Alexey Chervonenkis Best Paper Award. COPA 2023.

  • A. P. Kohli*
  • A. N. Angelopoulos*
  • S. You
  • K. Yanny
Linear Revolution-Invariance: Modeling and Deblurring Spatially-Varying Imaging Systems. 2022.

  • A. N. Angelopoulos*
  • A. P. Kohli*
  • S. Bates
  • J. Malik
  • M. I. Jordan
  • T. Alshaabi
  • S. Upadhyahyula
  • Y. Romano
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging. ICML'22 spotlight paper. 2022. [ICML22]

  • C. Fannjiang
  • S. Bates
  • A. N. Angelopoulos
  • J. Listgarten
  • M. I. Jordan
Conformal Prediction for the Design Problem. Proceedings of the National Academy of Sciences. 2022. [PNAS]

  • K. Wang
  • A. N. Angelopoulos
  • A. De Goyeneche
  • A. P. Kohli
  • E. Shimron
  • S. Yu
  • J. Malik
  • M. Lustig
Rigorous Uncertainty Estimation for MRI Reconstruction. Oral at the Conference of the International Society for Magnetic Resonance in Medicine. 2022.

  • M. Werner
  • A. N. Angelopoulos
  • S. Bates
  • M. I. Jordan
Online Active Learning with Dynamic Marginal Gain Thresholding. 2022.

  • A. N. Angelopoulos
  • S. Bates
  • E. J. Candès
  • M. I. Jordan
  • L. Lei
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control. 2021.

  • A. N. Angelopoulos
  • S. Bates
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification. 2021.
@misc{angelopoulos-gentle,
  title={A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification},
  author={Angelopoulos, Anastasios Nikolas and Bates, Stephen},
  url={https://arxiv.org/abs/2107.07511},
  journal={arXiv:2107.07511},
  year={2021}
}
							

  • A. N. Angelopoulos*
  • S. Bates*
  • T. Zrnic*
  • M. I. Jordan
Private Prediction Sets. Harvard Data Science Review. 2022. [HDSR]
@article{angelopoulos2021private,
  title={Private Prediction Sets},
  author={Angelopoulos, Anastasios N and Bates, Stephen and Zrnic, Tijana and Jordan, Michael I},
  journal={arXiv preprint arXiv:2102.06202},
  year={2021}
}
							

  • A. P. Kohli*
  • A. N. Angelopoulos*
  • S. You
  • L. Waller
Shift-variant deblurring for rotationally symmetric systems. Optical Society of America, Computational Optical Sensing and Imaging, 2021. [COSI]
@article{kohli2021lri,
  title={Shift-variant deblurring for rotationally symmetric systems},
  author={Kohli, Amit and Angelopoulos, Anastasios Nikolas and You, Sixian and Waller, Laura},
  journal={Optical Society of America, Computational Optical Sensing and Imaging},
  year={2021}
}
							

  • S. Bates*
  • A. N. Angelopoulos*
  • L. Lei*
  • J. Malik
  • M. I. Jordan
Distribution-Free, Risk-Controlling Prediction Sets. Journal of the ACM 68 (8). 9/2021. [JACM]
@article{batesrcps,
  title={Distribution-Free, Risk-Controlling Prediction Sets},
  author={Bates, Stephen and Angelopoulos, Anastasios Nikolas and Lei, Lihua and Malik, Jitendra and Jordan, Michael I},
  journal={arXiv preprint arXiv:2101.02703},
  year={2021}
}
							

  • A. N. Angelopoulos*
  • S. Bates*
  • J. Malik
  • M. I. Jordan
Uncertainty Sets for Image Classifiers using Conformal Prediction. ICLR 2021 Spotlight paper. 2021. [ICLR2021]
@article{angelopoulosraps,
  title={Uncertainty Sets for Image Classifiers Using Conformal Prediction},
  author={Angelopoulos, Anastasios Nikolas and Bates, Stephen and Malik, Jitendra and Jordan, Michael I},
  journal={arXiv preprint arXiv:2009.14193},
  year={2020}
}
							

  • A. N. Angelopoulos
  • R. Pathak
  • R. Varma
  • M. I. Jordan
On Identifying and Mitigating Bias in the Estimation of the COVID-19 Case Fatality Rate. Harvard Data Science Review Special Issue COVID-19: Unprecedented Challenges and Chances, 2020. [HDSR]
@article{angelopoulosidentifying,
  title={On Identifying and Mitigating Bias in the Estimation of the COVID-19 Case Fatality Rate},
  author={Angelopoulos, Anastasios Nikolas and Pathak, Reese and Varma, Rohit and Jordan, Michael I},
  journal={Harvard Data Science Review},
  year={2020}
}
			      

  • A. N. Angelopoulos*
  • J. N. P. Martel*
  • A. P. S. Kohli
  • J. Conradt
  • G. Wetzstein
Event-based, near-eye gaze tracking beyond 10,000 Hz. Oral at IEEEVR and special issue of Transactions on Visualization and Computer Graphics. 2021. [IEEE TVCG]
@article{angelopoulos2020event,
  title={Event Based, Near Eye Gaze Tracking Beyond 10,000 Hz},
  author={Angelopoulos, Anastasios Nikolas and Martel, Julien NP and Kohli, Amit PS and Conradt, Jorg and Wetzstein, Gordon},
  journal={arXiv preprint arXiv:2004.03577},
  year={2020}
}
			      

  • R. Konrad
  • A. N. Angelopoulos
  • G. Wetzstein
Gaze-contingent ocular parallax rendering for virtual reality. ACM Transactions on Graphics (+SIGGRAPH), 2020. [ACM TOG]
@article{konrad2020gaze,
  title={Gaze-contingent ocular parallax rendering for virtual reality},
  author={Konrad, Robert and Angelopoulos, Anastasios Nikolas and Wetzstein, Gordon},
  journal={ACM Transactions on Graphics (TOG)},
  volume={39},
  number={2},
  pages={1--12},
  year={2020},
  publisher={ACM New York, NY, USA}
}		      
			      

  • A. N. Angelopoulos
  • H. Ameri
  • D. Mitra
  • M. Humayun
Enhanced depth navigation through augmented reality depth mapping in patients with low vision. Scientific Reports, 2019. [Nature SciRep] [Supp]
@article{angelopoulos2019enhanced,
  title={Enhanced Depth Navigation Through Augmented Reality Depth Mapping in Patients with Low Vision},
  author={Angelopoulos, Anastasios Nikolas and Ameri, Hossein and Mitra, Debbie and Humayun, Mark},
  journal={Scientific reports},
  volume={9},
  number={1},
  pages={1--10},
  year={2019},
  publisher={Nature Publishing Group}
}
			      

  • A. N. Angelopoulos
Patent: Universal Pickup. 2015. [Issued US Patent]
@patent{angelopoulos2015guitar,
  title={Universal Pickup},
  author={Angelopoulos, Anastasios Nikolas},
  date = {2015},
  number={US8993868},
}