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Nikhil Garg

  1. A No Free Lunch Theorem for Human-AI Collaboration
    2024/11/21 by Kenny Peng, Peng, Kenny, Nikhil Garg +3 · 2 voices · 5 citations
    Business, Management and Accounting · #Big Data and Business Intelligence #cs.AI #cs.HC #cs.LG
  2. Sparse Autoencoders for Hypothesis Generation
    2025/02/05 by Rajiv Movva, Kenny Peng, Movva, Rajiv +7 · 4 voices · 10 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computational Physics and Python Applications #Machine Learning and Data Classification #cs.AI #cs.CL #cs.CY
  3. Correlated Errors in Large Language Models
    2025/06/09 by Elliot Kim, Avi Garg, Kim, Elliot +5 · 3 voices · 9 citations
    Computer Science · Medicine · #Topic Modeling #Artificial Intelligence in Healthcare and Education #Text Readability and Simplification
  4. Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings
    2019/04/02 by Dorottya Demszky, Nikhil Garg, Demszky, Dorottya +11 · 6 citations
    Social Sciences · #Social Media and Politics #Terrorism, Counterterrorism, and Political Violence #Misinformation and Its Impacts
  5. Position: Use Sparse Autoencoders to Discover Unknowns
    2025/06/30 by Kenny Peng, Rajiv Movva, Peng, Kenny +7 · 3 voices · 9 citations
    Computer Science · Social Sciences · #Explainable Artificial Intelligence (XAI) #Generative Adversarial Networks and Image Synthesis #Misinformation and Its Impacts
  6. Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems
    2023/05/27 by Smitha Milli, Milli, Smitha, Emma Pierson +3 · 3 citations
    Business, Management and Accounting · Decision Sciences · #Advanced Bandit Algorithms Research #Consumer Market Behavior and Pricing #Decision-Making and Behavioral Economics #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. How Many Features Can a Language Model Store Under the Linear Representation Hypothesis?
    2026/02/11 by Nikhil Garg, Jon Kleinberg, Kenny Peng · 2 voices · 3 citations
    #cs.LG #cs.AI #cs.CL #cs.IT #math.CO
  8. Designing Optimal Binary Rating Systems
    2018/06/18 by Nikhil Garg, Ramesh Johari, Garg, Nikhil +1 · 1 citation
    Decision Sciences · Computer Science · #Auction Theory and Applications #Recommender Systems and Techniques #Privacy-Preserving Technologies in Data
  9. Wisdom and Foolishness of Noisy Matching Markets
    2024/02/26 by Kenny Peng, Nikhil Garg, Peng, Kenny +1 · 2 citations
    Economics, Econometrics and Finance · #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Game Theory and Voting Systems #Probability (math.PR) #Theoretical Economics (econ.TH)
  10. Monoculture in Matching Markets
    2023/12/15 by Kenny Peng, Nikhil Garg, Peng, Kenny +1 · 2 voices · 1 citation
    Decision Sciences · Economics, Econometrics and Finance · Social Sciences · #Auction Theory and Applications #Experimental Behavioral Economics Studies #Game Theory and Voting Systems #cs.CY #cs.GT #econ.TH
  11. The Stereotyping Problem in Collaboratively Filtered Recommender Systems
    2021/06/23 by Wenshuo Guo, Karl Krauth, Guo, Wenshuo +5 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques
  12. Balancing Producer Fairness and Efficiency via Prior-Weighted Rating System Design
    2022/07/10 by Thomas Ma, Ma, Thomas, Michael S. Bernstein +5 · 1 citation
    Business, Management and Accounting · Decision Sciences · #Applications (stat.AP) #Auction Theory and Applications #Consumer Market Behavior and Pricing #Digital Platforms and Economics #FOS: Computer and information sciences
  13. Inferring fine-grained migration patterns across the United States
    2025/03/26 by Gabriel Agostini, Rachel Young, Agostini, Gabriel +7 · 4 voices · 1 citation
    #cs.CY
  14. Heterogeneous participation and allocation skews: when is choice "worth it"?
    2025/07/04 by Nikhil Garg, Garg, Nikhil · 1 voice · 1 citation
    #cs.CY #econ.GN
  15. Paper Skygest: Personalized Academic Recommendations on Bluesky
    2026/01/06 by Sophie Greenwood, Nikhil Garg · 4 voices
    #cs.SI #cs.CY #cs.IR
  16. Learning Disease Progression Models That Capture Health Disparities
    2024/12/20 by Erica Chiang, Divya Shanmugam, Chiang, Erica +12 · 1 voice · 2 citations
    Medicine · Computer Science · #Chronic Disease Management Strategies #Machine Learning in Healthcare
  17. All-in-One Analog AI Hardware: On-Chip Training and Inference with Conductive-Metal-Oxide/HfOx ReRAM Devices
    2025/02/06 by Donato Francesco Falcone, Falcone, Donato Francesco, Wooseok Choi +20 · 2 citations
    Engineering · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Semiconductor materials and devices
  18. User-item fairness tradeoffs in recommendations
    2024/12/05 by Sophie Greenwood, Sudalakshmee Chiniah, Greenwood, Sophie +3 · 1 citation
    Social Sciences · #Innovation, Technology, and Society