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ORCIDJuan C. Perdomo
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2020 – today
- 2024
[c9]Gavin Brown, Jonathan Hayase, Samuel B. Hopkins, Weihao Kong, Xiyang Liu, Sewoong Oh, Juan C. Perdomo, Adam Smith:
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract. COLT 2024: 750-751- [c8]Juan Carlos Perdomo:
The Relative Value of Prediction in Algorithmic Decision Making. ICML 2024 - [i13]Gavin Brown, Jonathan Hayase, Samuel B. Hopkins, Weihao Kong, Xiyang Liu, Sewoong Oh, Juan C. Perdomo, Adam Smith:
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares. CoRR abs/2404.15409 (2024) - [i12]Josh Gardner, Juan C. Perdomo, Ludwig Schmidt:
Large Scale Transfer Learning for Tabular Data via Language Modeling. CoRR abs/2406.12031 (2024) - 2023
- [b1]Juan C. Perdomo:
Performative Prediction: Theory and Practice. University of California, Berkeley, USA, 2023 - [j1]Juan C. Perdomo, Akshay Krishnamurthy, Peter L. Bartlett, Sham M. Kakade:
A Complete Characterization of Linear Estimators for Offline Policy Evaluation. J. Mach. Learn. Res. 24: 284:1-284:50 (2023) - [c7]Michael P. Kim, Juan C. Perdomo:
Making Decisions Under Outcome Performativity. ITCS 2023: 79:1-79:15 - [i11]Juan C. Perdomo, Tolani Britton, Moritz Hardt, Rediet Abebe:
Difficult Lessons on Social Prediction from Wisconsin Public Schools. CoRR abs/2304.06205 (2023) - [i10]Juan Carlos Perdomo:
The Relative Value of Prediction in Algorithmic Decision Making. CoRR abs/2312.08511 (2023) - 2022
- [c6]Jack Umenberger, Max Simchowitz, Juan C. Perdomo, Kaiqing Zhang, Russ Tedrake:
Globally Convergent Policy Search for Output Estimation. NeurIPS 2022 - [i9]Jack Umenberger, Max Simchowitz, Juan C. Perdomo, Kaiqing Zhang, Russ Tedrake:
Globally Convergent Policy Search over Dynamic Filters for Output Estimation. CoRR abs/2202.11659 (2022) - [i8]Juan C. Perdomo, Akshay Krishnamurthy, Peter L. Bartlett, Sham M. Kakade:
A Sharp Characterization of Linear Estimators for Offline Policy Evaluation. CoRR abs/2203.04236 (2022) - [i7]Michael P. Kim, Juan C. Perdomo:
Making Decisions under Outcome Performativity. CoRR abs/2210.01745 (2022) - 2021
- [c5]Juan C. Perdomo, Max Simchowitz, Alekh Agarwal, Peter L. Bartlett:
Towards a Dimension-Free Understanding of Adaptive Linear Control. COLT 2021: 3681-3770 - [c4]John Miller, Juan C. Perdomo, Tijana Zrnic:
Outside the Echo Chamber: Optimizing the Performative Risk. ICML 2021: 7710-7720 - [c3]Juan C. Perdomo, Jack Umenberger, Max Simchowitz:
Stabilizing Dynamical Systems via Policy Gradient Methods. NeurIPS 2021: 29274-29286 - [i6]John Miller, Juan C. Perdomo, Tijana Zrnic:
Outside the Echo Chamber: Optimizing the Performative Risk. CoRR abs/2102.08570 (2021) - [i5]Juan C. Perdomo, Max Simchowitz, Alekh Agarwal, Peter L. Bartlett:
Towards a Dimension-Free Understanding of Adaptive Linear Control. CoRR abs/2103.10620 (2021) - [i4]Juan C. Perdomo, Jack Umenberger, Max Simchowitz:
Stabilizing Dynamical Systems via Policy Gradient Methods. CoRR abs/2110.06418 (2021) - 2020
- [c2]Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt:
Performative Prediction. ICML 2020: 7599-7609 - [c1]Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic, Moritz Hardt:
Stochastic Optimization for Performative Prediction. NeurIPS 2020 - [i3]Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt:
Performative Prediction. CoRR abs/2002.06673 (2020) - [i2]Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic, Moritz Hardt:
Stochastic Optimization for Performative Prediction. CoRR abs/2006.06887 (2020)
2010 – 2019
- 2019
- [i1]Juan C. Perdomo, Yaron Singer:
Robust Attacks against Multiple Classifiers. CoRR abs/1906.02816 (2019)
Coauthor Index
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