Michael P. Kim

47 papers A* 14A 3B 1C 1Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Oracle-efficient Hybrid Learning with Constrained Adversaries. CoRR Princewill Okoroafor, Robert Kleinberg, Michael P. Kim
2025	A*	`conf`	Near-Optimal Algorithms for Omniprediction. FOCS Princewill Okoroafor, Robert Kleinberg, Michael P. Kim
2025	J	`jnl`	Near-Optimal Algorithms for Omniprediction. CoRR Princewill Okoroafor, Robert Kleinberg, Michael P. Kim
2024	—	`conf`	Certifying Private Probabilistic Mechanisms. CRYPTO (6) Zoë Ruha Bell, Shafi Goldwasser, Michael P. Kim, Jean-Luc Watson
2024	J	`jnl`	Certifying Private Probabilistic Mechanisms. IACR Cryptol. ePrint Arch. Zoë Ruha Bell, Shafi Goldwasser, Michael P. Kim, Jean-Luc Watson
2024	J	`jnl`	Multi-Accurate CATE is Robust to Unknown Covariate Shifts. Trans. Mach. Learn. Res. Christoph Kern, Michael P. Kim, Angela Zhou
2024	J	`jnl`	Multi-CATE: Multi-Accurate Conditional Average Treatment Effect Estimation Robust to Unknown Covariate Shifts. CoRR Christoph Kern, Michael P. Kim, Angela Zhou
2023	J	`jnl`	Characterizing notions of omniprediction via multicalibration. CoRR Parikshit Gopalan, Michael P. Kim, Omer Reingold
2023	—	`conf`	Is Your Model Predicting the Past? EAAMO Michael P. Kim, Moritz Hardt
2023	A	`conf`	Loss Minimization Through the Lens Of Outcome Indistinguishability. ITCS Parikshit Gopalan, Lunjia Hu, Michael P. Kim, Omer Reingold, Udi Wieder
2023	A	`conf`	Making Decisions Under Outcome Performativity. ITCS Michael P. Kim, Juan C. Perdomo
2023	A*	`conf`	Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration. NeurIPS Parikshit Gopalan, Michael P. Kim, Omer Reingold
2022	J	`jnl`	Backward baselines: Is your model predicting the past? CoRR Moritz Hardt, Michael P. Kim
2022	B	`conf`	Beyond Bernoulli: Generating Random Outcomes that cannot be Distinguished from Nature. ALT Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona
2022	J	`jnl`	Loss Minimization through the Lens of Outcome Indistinguishability. CoRR Parikshit Gopalan, Lunjia Hu, Michael P. Kim, Omer Reingold, Udi Wieder
2022	A*	`conf`	Low-Degree Multicalibration. COLT Parikshit Gopalan, Michael P. Kim, Mihir Singhal, Shengjia Zhao
2022	J	`jnl`	Low-Degree Multicalibration. CoRR Parikshit Gopalan, Michael P. Kim, Mihir Singhal, Shengjia Zhao
2022	J	`jnl`	Making Decisions under Outcome Performativity. CoRR Michael P. Kim, Juan C. Perdomo
2022	A*	`conf`	Planting Undetectable Backdoors in Machine Learning Models : [Extended Abstract]. FOCS Shafi Goldwasser, Michael P. Kim, Vinod Vaikuntanathan, Or Zamir
2022	J	`jnl`	Planting Undetectable Backdoors in Machine Learning Models. CoRR Shafi Goldwasser, Michael P. Kim, Vinod Vaikuntanathan, Or Zamir
2021	A*	`conf`	Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration. NeurIPS Shengjia Zhao, Michael P. Kim, Roshni Sahoo, Tengyu Ma, Stefano Ermon
2021	J	`jnl`	Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration. CoRR Shengjia Zhao, Michael P. Kim, Roshni Sahoo, Tengyu Ma, Stefano Ermon
2021	A*	`conf`	Outcome indistinguishability. STOC Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona
2021	J	`jnl`	mcboost: Multi-Calibration Boosting for R. J. Open Source Softw. Florian Pfisterer, Christoph Kern, Susanne Dandl, Matthew Sun, Michael P. Kim, Bernd Bischl
2020	A*	`conf`	A Distributional Framework For Data Valuation. ICML Amirata Ghorbani, Michael P. Kim, James Zou
2020	J	`jnl`	A Distributional Framework for Data Valuation. CoRR Amirata Ghorbani, Michael P. Kim, James Y. Zou
2020	—	`—`	A complexity-theoretic perspective on fairness. Michael P. Kim
2020	J	`jnl`	Outcome Indistinguishability. CoRR Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona
2020	J	`jnl`	Outcome Indistinguishability. Electron. Colloquium Comput. Complex. Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona
2020	A	`conf`	Preference-Informed Fairness. ITCS Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona
2020	—	`conf`	Preference-informed fairness. FAT* Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona
2019	A*	`conf`	Learning from Outcomes: Evidence-Based Rankings. FOCS Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona
2019	C	`conf`	Multiaccuracy: Black-Box Post-Processing for Fairness in Classification. AIES Michael P. Kim, Amirata Ghorbani, James Y. Zou
2019	J	`jnl`	Preference-Informed Fairness. CoRR Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona
2019	A*	`conf`	Tracking and Improving Information in the Service of Fairness. EC Sumegha Garg, Michael P. Kim, Omer Reingold
2019	J	`jnl`	Tracking and Improving Information in the Service of Fairness. CoRR Sumegha Garg, Michael P. Kim, Omer Reingold
2018	A*	`conf`	Fairness Through Computationally-Bounded Awareness. NeurIPS Michael P. Kim, Omer Reingold, Guy N. Rothblum
2018	J	`jnl`	Fairness Through Computationally-Bounded Awareness. CoRR Michael P. Kim, Omer Reingold, Guy N. Rothblum
2018	J	`jnl`	Multiaccuracy: Black-Box Post-Processing for Fairness in Classification. CoRR Michael P. Kim, Amirata Ghorbani, James Y. Zou
2018	A*	`conf`	Multicalibration: Calibration for the (Computationally-Identifiable) Masses. ICML Úrsula Hébert-Johnson, Michael P. Kim, Omer Reingold, Guy N. Rothblum
2018	A*	`conf`	On Estimating Edit Distance: Alignment, Dimension Reduction, and Embeddings. ICALP Moses Charikar, Ofir Geri, Michael P. Kim, William Kuszmaul
2018	J	`jnl`	On Estimating Edit Distance: Alignment, Dimension Reduction, and Embeddings. CoRR Moses Charikar, Ofir Geri, Michael P. Kim, William Kuszmaul
2017	J	`jnl`	Calibration for the (Computationally-Identifiable) Masses. CoRR Úrsula Hébert-Johnson, Michael P. Kim, Omer Reingold, Guy N. Rothblum
2017	J	`jnl`	Who Can Win a Single-Elimination Tournament? SIAM J. Discret. Math. Michael P. Kim, Warut Suksompong, Virginia Vassilevska Williams
2016	A*	`conf`	Who Can Win a Single-Elimination Tournament? AAAI Michael P. Kim, Warut Suksompong, Virginia Vassilevska Williams
2015	A*	`conf`	Fixing Tournaments for Kings, Chokers, and More. IJCAI Michael P. Kim, Virginia Vassilevska Williams
2015	J	`jnl`	Who Can Win a Single-Elimination Tournament? CoRR Michael P. Kim, Warut Suksompong, Virginia Vassilevska Williams