Meena Jagadeesan

According to our database, Meena Jagadeesan authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Safety vs. Performance: How Multi-Objective Learning Reduces Barriers to Market Entry.

Meena Jagadeesan, Michael I. Jordan, Jacob Steinhardt

CoRR, 2024

Accounting for AI and Users Shaping One Another: The Role of Mathematical Models.

Sarah Dean, Evan Dong, Meena Jagadeesan, Liu Leqi

CoRR, 2024

Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms.

Nicole Immorlica, Meena Jagadeesan, Brendan Lucier

Proceedings of the ACM on Web Conference 2024, 2024

Feedback Loops With Language Models Drive In-Context Reward Hacking.

Alexander Pan, Erik Jones, Meena Jagadeesan, Jacob Steinhardt

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Impact of Decentralized Learning on Player Utilities in Stackelberg Games.

Kate Donahue, Nicole Immorlica, Meena Jagadeesan, Brendan Lucier, Aleksandrs Slivkins

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Can Probabilistic Feedback Drive User Impacts in Online Platforms?

Jessica Dai, Bailey Flanigan, Meena Jagadeesan, Nika Haghtalab, Chara Podimata

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Learning Equilibria in Matching Markets with Bandit Feedback.

Meena Jagadeesan, Alexander Wei, Yixin Wang, Michael I. Jordan, Jacob Steinhardt

J. ACM, June, 2023

Incentivizing High-Quality Content in Online Recommender Systems.

Xinyan Hu, Meena Jagadeesan, Michael I. Jordan, Jacob Steinhardt

CoRR, 2023

Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition.

Meena Jagadeesan, Michael I. Jordan, Jacob Steinhardt, Nika Haghtalab

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Supply-Side Equilibria in Recommender Systems.

Meena Jagadeesan, Nikhil Garg, Jacob Steinhardt

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Competition, Alignment, and Equilibria in Digital Marketplaces.

Meena Jagadeesan, Michael I. Jordan, Nika Haghtalab

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Performative Power.

Moritz Hardt, Meena Jagadeesan, Celestine Mendler-Dünner

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Individual Fairness in Advertising Auctions Through Inverse Proportionality.

Shuchi Chawla, Meena Jagadeesan

Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

Regret Minimization with Performative Feedback.

Meena Jagadeesan, Tijana Zrnic, Celestine Mendler-Dünner

Proceedings of the International Conference on Machine Learning, 2022

Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm.

Meena Jagadeesan, Ilya P. Razenshteyn, Suriya Gunasekar

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine.

Subarna Chatterjee, Meena Jagadeesan, Wilson Qin, Stratos Idreos

Proc. VLDB Endow., 2021

Learning Equilibria in Matching Markets from Bandit Feedback.

Meena Jagadeesan, Alexander Wei, Yixin Wang, Michael I. Jordan, Jacob Steinhardt

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Alternative Microfoundations for Strategic Classification.

Meena Jagadeesan, Celestine Mendler-Dünner, Moritz Hardt

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Fairness in ad auctions through inverse proportionality.

Shuchi Chawla, Meena Jagadeesan

CoRR, 2020

From Worst-Case to Average-Case Analysis: Accurate Latency Predictions for Key-Value Storage Engines.

Meena Jagadeesan, Garrett Tanzer

Proceedings of the 2020 International Conference on Management of Data, 2020

Individual Fairness in Pipelines.

Cynthia Dwork, Christina Ilvento, Meena Jagadeesan

Proceedings of the 1st Symposium on Foundations of Responsible Computing, 2020

Multi-category fairness in sponsored search auctions.

Christina Ilvento, Meena Jagadeesan, Shuchi Chawla

Proceedings of the FAT* '20: Conference on Fairness, 2020

2019

Individual Fairness in Sponsored Search Auctions.

Shuchi Chawla, Christina Ilvento, Meena Jagadeesan

CoRR, 2019

Understanding Sparse JL for Feature Hashing.

Meena Jagadeesan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Simple Analysis of Sparse, Sign-Consistent JL.

Meena Jagadeesan

Proceedings of the Approximation, 2019

2018

Varying the Number of Signals in Matching Markets.

Meena Jagadeesan, Alexander Wei

Proceedings of the Web and Internet Economics - 14th International Conference, 2018