![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Michael 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
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [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 - [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
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-02 21:28 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint