JM
Jamie Morgenstern
cs.LGcs.GTstat.MLcs.DScs.AIcs.CYcs.CVcs.CEcs.CLcs.CR
On Valency
published · living versionsW_k2fpg7xp·v1 · currentpublished
Preprints & journals
47 papers in the corpus · 2012–2026Efficient Uncoupled Learning Dynamics with $\tilde{O}\!\left(T^{-1/4}\right)$ Last-Iterate Convergence in Bilinear Saddle-Point Problems over Convex Sets under Bandit Feedback2602.21436v2 · Arnab Maiti, Claire Jie Zhang, Kevin Jamieson et al.2026 · 0 citationsarXiv
Beyond the PPAD hardness of Auto-bidding Auctions2608.01889v1 · Li Chen, Jamie Morgenstern, Yuanyuan Yang2026 · 0 citationsarXiv
Initializing Services in Interactive ML Systems for Diverse Users2312.11846v2 · Avinandan Bose, Mihaela Curmei, Daniel L. Jiang et al.2023 · 1 citationarXiv
Large language models that replace human participants can harmfully misportray and flatten identity groups2402.01908v3 · Angelina Wang, Jamie Morgenstern, John P. Dickerson2024 · 124 citationsarXiv
Markovian Pandora's box2502.00228v1 · Yuanyuan Yang, Ruimin Zhang, Jamie Morgenstern et al.2025 · 0 citationsarXiv
Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp2405.08209v2 · Rachel Hong, William Agnew, Tadayoshi Kohno et al.2024 · 10 citationsProceedings of the 4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO 2024)
Fair Clustering: Critique, Caveats, and Future Directions2406.15960v1 · John Dickerson, Seyed A. Esmaeili, Jamie Morgenstern et al.2024 · 0 citationsarXiv
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable2405.20272v1 · Martin Bertran, Shuai Tang, Michael Kearns et al.2024 · 11 citationsarXiv
Emergent specialization from participation dynamics and multi-learner retraining2206.02667v3 · Sarah Dean, Mihaela Curmei, Lillian J. Ratliff et al.2022 · 1 citationarXiv
Fair Active Learning in Low-Data Regimes2312.08559v1 · Romain Camilleri, Andrew Wagenmaker, Jamie Morgenstern et al.2023 · 0 citationsarXiv
Distributionally Robust Data Join2202.05797v2 · Pranjal Awasthi, Christopher Jung, Jamie Morgenstern2022 · 0 citationsarXiv
Doubly Constrained Fair Clustering2305.19475v1 · John Dickerson, Seyed A. Esmaeili, Jamie Morgenstern et al.2023 · 0 citationsarXiv
Auctions and Peer Prediction for Academic Peer Review2109.00923v2 · Siddarth Srinivasan, Jamie Morgenstern2021 · 2 citationsarXiv
Multicalibrated Regression for Downstream Fairness2209.07312v1 · Ira Globus-Harris, Varun Gupta, Christopher Jung et al.2022 · 5 citationsarXiv
Individual Preference Stability for Clustering2207.03600v1 · Saba Ahmadi, Pranjal Awasthi, Samir Khuller et al.2022 · 1 citationarXiv
Active Learning with Safety Constraints2206.11183v1 · Romain Camilleri, Andrew Wagenmaker, Jamie Morgenstern et al.2022 · 2 citationsarXiv
Active Sampling for Min-Max Fairness2006.06879v3 · Jacob Abernethy, Pranjal Awasthi, Matthaus Kleindessner et al.2020 · 6 citationsarXiv
Preference Dynamics Under Personalized Recommendations2205.13026v1 · Sarah Dean, Jamie Morgenstern2022 · 21 citationsarXiv
Optimal Spend Rate Estimation and Pacing for Ad Campaigns with Budgets2202.05881v1 · Bhuvesh Kumar, Jamie Morgenstern, Okke Schrijvers2022 · 1 citationarXiv
Competition Alleviates Present Bias in Task Completion2009.13741v2 · Aditya Saraf, Anna R. Karlin, Jamie Morgenstern2020 · 0 citationsIn International Conference on Web and Internet Economics (pp. 266-279). Springer, Cham (2020, December)
Datasheets for Datasets1803.09010v8 · Timnit Gebru, Jamie Morgenstern, Briana Vecchione et al.2018 · 2,064 citationsarXiv
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning1904.05419v4 · 'Angel Alexander Cabrera, Will Epperson, Fred Hohman et al.2019 · 196 citationsarXiv
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information2102.08410v1 · Pranjal Awasthi, Alex Beutel, Matthaeus Kleindessner et al.2021 · 42 citationsarXiv
Multi-Criteria Dimensionality Reduction with Applications to Fairness1902.11281v3 · Uthaipon Tantipongpipat, Samira Samadi, Mohit Singh et al.2019 · 14 citationsarXiv
A Notion of Individual Fairness for Clustering2006.04960v1 · Matthaus Kleindessner, Pranjal Awasthi, Jamie Morgenstern2020 · 13 citationsarXiv
Equalized odds postprocessing under imperfect group information1906.03284v3 · Pranjal Awasthi, Matthaus Kleindessner, Jamie Morgenstern2019 · 17 citationsarXiv
Network Formation under Random Attack and Probabilistic Spread1906.00241v1 · Yu Chen, Shahin Jabbari, Michael Kearns et al.2019 · 5 citationsarXiv
Fair k-Center Clustering for Data Summarization1901.08628v2 · Matthaus Kleindessner, Pranjal Awasthi, Jamie Morgenstern2019 · 78 citationsarXiv
Guarantees for Spectral Clustering with Fairness Constraints1901.08668v2 · Matthaus Kleindessner, Samira Samadi, Pranjal Awasthi et al.2019 · 43 citationsarXiv
Predictive Inequity in Object Detection1902.11097v1 · Benjamin Wilson, Judy Hoffman, Jamie Morgenstern2019 · 153 citationsarXiv
The Price of Fair PCA: One Extra Dimension1811.00103v1 · Samira Samadi, Uthaipon Tantipongpipat, Jamie Morgenstern et al.2018 · 82 citationsarXiv
Do Prices Coordinate Markets?1511.00925v5 · Justin Hsu, Jamie Morgenstern, Ryan Rogers et al.2015 · 27 citationsarXivon Valency
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem1801.03423v1 · Sampath Kannan, Jamie Morgenstern, Aaron Roth et al.2018 · 32 citationsarXiv
Fairness in Reinforcement Learning1611.03071v4 · Shahin Jabbari, Matthew Joseph, Michael Kearns et al.2016 · 7 citationsarXiv
Fair Algorithms for Infinite and Contextual Bandits1610.09559v4 · Matthew Joseph, Michael Kearns, Jamie Morgenstern et al.2016 · 13 citationsarXiv
A Convex Framework for Fair Regression1706.02409v1 · Richard Berk, Hoda Heidari, Shahin Jabbari et al.2017 · 190 citationsarXiv
Fairness Incentives for Myopic Agents1705.02321v1 · Sampath Kannan, Michael Kearns, Jamie Morgenstern et al.2017 · 29 citationsarXiv
Strategic Network Formation with Attack and Immunization1511.05196v7 · Sanjeev Goyal, Shahin Jabbari, Michael Kearns et al.2015 · 42 citationsarXiv
Fairness in Learning: Classic and Contextual Bandits1605.07139v2 · Matthew Joseph, Michael Kearns, Jamie Morgenstern et al.2016 · 297 citationsarXivon Valency
Learning Simple Auctions1604.03171v1 · Jamie Morgenstern, Tim Roughgarden2016 · 69 citationsarXivon Valency
The Pseudo-Dimension of Near-Optimal Auctions1506.03684v1 · Jamie Morgenstern, Tim Roughgarden2015 · 33 citationsarXivon Valency
Private Pareto Optimal Exchange1407.2641v2 · Sampath Kannan, Jamie Morgenstern, Ryan Rogers et al.2014 · 3 citationsarXiv
Approximately Stable, School Optimal, and Student-Truthful Many-to-One Matchings (via Differential Privacy)1407.2640v2 · Sampath Kannan, Jamie Morgenstern, Aaron Roth et al.2014 · 11 citationsarXiv
Privacy-Preserving Public Information for Sequential Games1402.4488v2 · Avrim Blum, Jamie Morgenstern, Ankit Sharma et al.2014 · 13 citationsarXiv
Learning What's going on: reconstructing preferences and priorities from opaque transactions1408.6575v1 · Avrim Blum, Yishay Mansour, Jamie Morgenstern2014 · 1 citationarXiv
Draft Auctions1311.2820v1 · Nikhil R. Devanur, Jamie Morgenstern, Vasilis Syrgkanis2013 · 0 citationsarXiv
Additive Approximation for Near-Perfect Phylogeny Construction1206.3334v1 · Pranjal Awasthi, Avrim Blum, Jamie Morgenstern et al.2012 · 5 citationsarXiv
Career total: 95 works. 47 are in this corpus.
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