Meena Jagadeesan
12 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (30) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (72)
❓
The Questioner
🌈
Renaissance Researcher
(5)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(6)
Core AI
(6)
Mathematics & Optimization
(5)
Optimization
(5)
Data Science & Analytics
(4)
Applications
(4)
Learning Types
(4)
Optimization & Theory · Machine Learning
(4)
Application Areas
(3)
Deep Learning
(2)
Reinforcement Learning
(2)
Methods
(2)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Keywords
recommender system
(2)
market equilibrium
(2)
game theory
(2)
multi-armed bandit
(2)
regret minimization
(1)
gradient descent
(1)
online learning
(1)
nuclear norm
(1)
decision theory
(1)
feature hashing
(1)
random projection
(1)
regret bound
(1)
convolutional neural network
(1)
feedback loop
(1)
inductive bia
(1)
convolutional network
(1)
performative prediction
(1)
distribution shift
(1)
implicit regularization
(1)
dimensionality reduction
(1)
Papers
Can Probabilistic Feedback Drive User Impacts in Online Platforms?
AISTATS 2024
Feedback Loops With Language Models Drive In-Context Reward Hacking
ICML 2024
Impact of Decentralized Learning on Player Utilities in Stackelberg Games
ICML 2024
Competition, Alignment, and Equilibria in Digital Marketplaces
AAAI 2023
Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition
NeurIPS 2023
Supply-Side Equilibria in Recommender Systems
NeurIPS 2023
Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm
COLT 2022
Performative Power
NeurIPS 2022
Regret Minimization with Performative Feedback
ICML 2022
Alternative Microfoundations for Strategic Classification
ICML 2021
Learning Equilibria in Matching Markets from Bandit Feedback
NeurIPS 2021
Understanding Sparse JL for Feature Hashing
NeurIPS 2019