Meena Jagadeesan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 38

Top Topics

Contextual Advertising

Sponsored Search Auctions

Recommender Systems

Top Venues

Proc. VLDB Endow.

Publications

Jessica Dai, Bailey Flanigan, Nika Haghtalab, Meena Jagadeesan, Chara Podimata
Can Probabilistic Feedback Drive User Impacts in Online Platforms? CoRR (2024)
Nicole Immorlica, Meena Jagadeesan, Brendan Lucier
Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms. WWW (2024)
Sarah Dean, Evan Dong, Meena Jagadeesan, Liu Leqi
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models. CoRR (2024)
Jessica Dai, Bailey Flanigan, Meena Jagadeesan, Nika Haghtalab, Chara Podimata
Can Probabilistic Feedback Drive User Impacts in Online Platforms? AISTATS (2024)
Kate Donahue, Nicole Immorlica, Meena Jagadeesan, Brendan Lucier, Aleksandrs Slivkins
Impact of Decentralized Learning on Player Utilities in Stackelberg Games. CoRR (2024)
Alexander Pan, Erik Jones, Meena Jagadeesan, Jacob Steinhardt
Feedback Loops With Language Models Drive In-Context Reward Hacking. CoRR (2024)
Nicole Immorlica, Meena Jagadeesan, Brendan Lucier
Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms. CoRR (2024)
Xinyan Hu, Meena Jagadeesan, Michael I. Jordan, Jacob Steinhardt
Incentivizing High-Quality Content in Online Recommender Systems. CoRR (2023)
Meena Jagadeesan, Michael I. Jordan, Nika Haghtalab
Competition, Alignment, and Equilibria in Digital Marketplaces. AAAI (2023)
Meena Jagadeesan, Michael I. Jordan, Jacob Steinhardt, Nika Haghtalab
Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition. CoRR (2023)
Meena Jagadeesan, Alexander Wei, Yixin Wang, Michael I. Jordan, Jacob Steinhardt
Learning Equilibria in Matching Markets with Bandit Feedback. J. ACM 70 (3) (2023)
Meena Jagadeesan, Nikhil Garg, Jacob Steinhardt
Supply-Side Equilibria in Recommender Systems. NeurIPS (2023)
Meena Jagadeesan, Michael I. Jordan, Jacob Steinhardt, Nika Haghtalab
Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition. NeurIPS (2023)
Meena Jagadeesan, Ilya P. Razenshteyn, Suriya Gunasekar
Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm. COLT (2022)
Meena Jagadeesan, Nikhil Garg, Jacob Steinhardt
Supply-Side Equilibria in Recommender Systems. CoRR (2022)
Meena Jagadeesan, Tijana Zrnic, Celestine Mendler-Dünner
Regret Minimization with Performative Feedback. CoRR (2022)
Meena Jagadeesan, Michael I. Jordan, Nika Haghtalab
Competition, Alignment, and Equilibria in Digital Marketplaces. CoRR (2022)
Shuchi Chawla, Meena Jagadeesan
Individual Fairness in Advertising Auctions Through Inverse Proportionality. ITCS (2022)
Meena Jagadeesan, Tijana Zrnic, Celestine Mendler-Dünner
Regret Minimization with Performative Feedback. ICML (2022)
Moritz Hardt, Meena Jagadeesan, Celestine Mendler-Dünner
Performative Power. CoRR (2022)
Moritz Hardt, Meena Jagadeesan, Celestine Mendler-Dünner
Performative Power. NeurIPS (2022)
Meena Jagadeesan, Celestine Mendler-Dünner, Moritz Hardt
Alternative Microfoundations for Strategic Classification. CoRR (2021)
Subarna Chatterjee, Meena Jagadeesan, Wilson Qin, Stratos Idreos
Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine. Proc. VLDB Endow. 15 (1) (2021)
Meena Jagadeesan, Alexander Wei, Yixin Wang, Michael I. Jordan, Jacob Steinhardt
Learning Equilibria in Matching Markets from Bandit Feedback. NeurIPS (2021)
Meena Jagadeesan, Ilya P. Razenshteyn, Suriya Gunasekar
Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm. CoRR (2021)
Meena Jagadeesan, Celestine Mendler-Dünner, Moritz Hardt
Alternative Microfoundations for Strategic Classification. ICML (2021)
Meena Jagadeesan, Alexander Wei, Yixin Wang, Michael I. Jordan, Jacob Steinhardt
Learning Equilibria in Matching Markets from Bandit Feedback. CoRR (2021)
Cynthia Dwork, Christina Ilvento, Meena Jagadeesan
Individual Fairness in Pipelines. FORC (2020)
Shuchi Chawla, Meena Jagadeesan
Fairness in ad auctions through inverse proportionality. CoRR (2020)
Cynthia Dwork, Christina Ilvento, Meena Jagadeesan
Individual Fairness in Pipelines. CoRR (2020)
Meena Jagadeesan, Garrett Tanzer
From Worst-Case to Average-Case Analysis: Accurate Latency Predictions for Key-Value Storage Engines. SIGMOD Conference (2020)
Christina Ilvento, Meena Jagadeesan, Shuchi Chawla
Multi-category fairness in sponsored search auctions. FAT* (2020)
Meena Jagadeesan
Understanding Sparse JL for Feature Hashing. NeurIPS (2019)
Shuchi Chawla, Christina Ilvento, Meena Jagadeesan
Individual Fairness in Sponsored Search Auctions. CoRR (2019)
Meena Jagadeesan
Simple Analysis of Sparse, Sign-Consistent JL. APPROX-RANDOM (2019)
Meena Jagadeesan
Understanding Sparse JL for Feature Hashing. CoRR (2019)
Meena Jagadeesan, Alexander Wei
Varying the Number of Signals in Matching Markets. WINE (2018)
Meena Jagadeesan
Simple Analysis of Sparse, Sign-Consistent JL. CoRR (2017)