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ORCIDMichael P. Kim
Person information
- affiliation: University of California, Berkeley, Miller Institute for Basic Research in Science, CA, USA
- affiliation (PhD 2020): Stanford University, CA, USA
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2020 – today
- 2024
[c21]Zoë Ruha Bell, Shafi Goldwasser, Michael P. Kim, Jean-Luc Watson:
Certifying Private Probabilistic Mechanisms. CRYPTO (6) 2024: 348-386- [i18]Zoë Ruha Bell, Shafi Goldwasser, Michael P. Kim, Jean-Luc Watson:
Certifying Private Probabilistic Mechanisms. IACR Cryptol. ePrint Arch. 2024: 938 (2024) - 2023
- [c20]Michael P. Kim
, Moritz Hardt:
Is Your Model Predicting the Past? EAAMO 2023: 5:1-5:8 - [c19]Parikshit Gopalan, Lunjia Hu, Michael P. Kim, Omer Reingold, Udi Wieder:
Loss Minimization Through the Lens Of Outcome Indistinguishability. ITCS 2023: 60:1-60:20 - [c18]Michael P. Kim, Juan C. Perdomo:
Making Decisions Under Outcome Performativity. ITCS 2023: 79:1-79:15 - [c17]Parikshit Gopalan, Michael P. Kim, Omer Reingold:
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration. NeurIPS 2023 - [i17]Parikshit Gopalan, Michael P. Kim, Omer Reingold:
Characterizing notions of omniprediction via multicalibration. CoRR abs/2302.06726 (2023) - 2022
- [c16]Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona:
Beyond Bernoulli: Generating Random Outcomes that cannot be Distinguished from Nature. ALT 2022: 342-380 - [c15]Parikshit Gopalan, Michael P. Kim, Mihir Singhal, Shengjia Zhao:
Low-Degree Multicalibration. COLT 2022: 3193-3234 - [c14]Shafi Goldwasser, Michael P. Kim, Vinod Vaikuntanathan, Or Zamir:
Planting Undetectable Backdoors in Machine Learning Models : [Extended Abstract]. FOCS 2022: 931-942 - [i16]Parikshit Gopalan, Michael P. Kim, Mihir Singhal, Shengjia Zhao:
Low-Degree Multicalibration. CoRR abs/2203.01255 (2022) - [i15]Shafi Goldwasser, Michael P. Kim, Vinod Vaikuntanathan, Or Zamir:
Planting Undetectable Backdoors in Machine Learning Models. CoRR abs/2204.06974 (2022) - [i14]Moritz Hardt, Michael P. Kim:
Backward baselines: Is your model predicting the past? CoRR abs/2206.11673 (2022) - [i13]Michael P. Kim, Juan C. Perdomo:
Making Decisions under Outcome Performativity. CoRR abs/2210.01745 (2022) - [i12]Parikshit Gopalan, Lunjia Hu, Michael P. Kim, Omer Reingold, Udi Wieder:
Loss Minimization through the Lens of Outcome Indistinguishability. CoRR abs/2210.08649 (2022) - 2021
- [c13]Shengjia Zhao, Michael P. Kim, Roshni Sahoo, Tengyu Ma, Stefano Ermon:
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration. NeurIPS 2021: 22313-22324 - [c12]Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona:
Outcome indistinguishability. STOC 2021: 1095-1108 - [d1]Florian Pfisterer, Christoph Kern, Susanne Dandl, Mathew Sun, Michael P. Kim, Bernd Bischl:
mcboost: Multi-Calibration Boosting for R. Zenodo, 2021
- [i11]Shengjia Zhao, Michael P. Kim, Roshni Sahoo, Tengyu Ma, Stefano Ermon:
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration. CoRR abs/2107.05719 (2021) - 2020
- [b1]Michael P. Kim:
A complexity-theoretic perspective on fairness. Stanford University, USA, 2020 - [c11]Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona:
Preference-informed fairness. FAT* 2020: 546 - [c10]Amirata Ghorbani, Michael P. Kim, James Zou:
A Distributional Framework For Data Valuation. ICML 2020: 3535-3544 - [c9]Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona:
Preference-Informed Fairness. ITCS 2020: 16:1-16:23 - [i10]Amirata Ghorbani, Michael P. Kim, James Y. Zou:
A Distributional Framework for Data Valuation. CoRR abs/2002.12334 (2020) - [i9]Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona:
Outcome Indistinguishability. CoRR abs/2011.13426 (2020) - [i8]Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona:
Outcome Indistinguishability. Electron. Colloquium Comput. Complex. TR20 (2020)
2010 – 2019
- 2019
- [c8]Michael P. Kim, Amirata Ghorbani, James Y. Zou:
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification. AIES 2019: 247-254 - [c7]Sumegha Garg, Michael P. Kim, Omer Reingold:
Tracking and Improving Information in the Service of Fairness. EC 2019: 809-824 - [c6]Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona:
Learning from Outcomes: Evidence-Based Rankings. FOCS 2019: 106-125 - [i7]Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona:
Preference-Informed Fairness. CoRR abs/1904.01793 (2019) - [i6]Sumegha Garg, Michael P. Kim, Omer Reingold:
Tracking and Improving Information in the Service of Fairness. CoRR abs/1904.09942 (2019) - 2018
- [c5]Moses Charikar, Ofir Geri, Michael P. Kim, William Kuszmaul:
On Estimating Edit Distance: Alignment, Dimension Reduction, and Embeddings. ICALP 2018: 34:1-34:14 - [c4]Úrsula Hébert-Johnson, Michael P. Kim, Omer Reingold, Guy N. Rothblum:
Multicalibration: Calibration for the (Computationally-Identifiable) Masses. ICML 2018: 1944-1953 - [c3]Michael P. Kim, Omer Reingold, Guy N. Rothblum:
Fairness Through Computationally-Bounded Awareness. NeurIPS 2018: 4847-4857 - [i5]Michael P. Kim, Omer Reingold, Guy N. Rothblum:
Fairness Through Computationally-Bounded Awareness. CoRR abs/1803.03239 (2018) - [i4]Moses Charikar, Ofir Geri, Michael P. Kim, William Kuszmaul:
On Estimating Edit Distance: Alignment, Dimension Reduction, and Embeddings. CoRR abs/1804.09907 (2018) - [i3]Michael P. Kim, Amirata Ghorbani, James Y. Zou:
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification. CoRR abs/1805.12317 (2018) - 2017
- [j1]Michael P. Kim, Warut Suksompong, Virginia Vassilevska Williams:
Who Can Win a Single-Elimination Tournament? SIAM J. Discret. Math. 31(3): 1751-1764 (2017) - [i2]Úrsula Hébert-Johnson, Michael P. Kim, Omer Reingold, Guy N. Rothblum:
Calibration for the (Computationally-Identifiable) Masses. CoRR abs/1711.08513 (2017) - 2016
- [c2]Michael P. Kim, Warut Suksompong, Virginia Vassilevska Williams:
Who Can Win a Single-Elimination Tournament? AAAI 2016: 516-522 - 2015
- [c1]Michael P. Kim, Virginia Vassilevska Williams:
Fixing Tournaments for Kings, Chokers, and More. IJCAI 2015: 561-567 - [i1]Michael P. Kim, Warut Suksompong, Virginia Vassilevska Williams:
Who Can Win a Single-Elimination Tournament? CoRR abs/1511.08416 (2015)
Coauthor Index
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