Kang, E. and Yoganarasimhan, H. (2026), "TextBO: Bayesian Optimization in Language Space for Eval-Efficient Self-Improving AI." (Slides, Github for Ad Creative Experiments, Github for Agentic AI Experiments) Working Paper.
Ye, Z. and Yoganarasimhan, H. (2026), "Fair Document Valuation in LLM Summaries via Shapley Values." (Slides, GitHub) Working Paper.
Cheng, M., Ofek, E., and Yoganarasimhan, H. (2025), "The Value of Silence: The Effect of UMG’s Licensing Dispute with TikTok on Music Demand." Forthcoming, Marketing Science.
Mummalaneni, S., Yoganarasimhan, H., and Pathak, V. (2024), "How Do Content Producers Respond to Engagement on Social Media Platforms?" (Slides) Forthcoming, Marketing Science.
Goli A., Lambrecht, A., and Yoganarasimhan, H. (2024), "A Bias Correction Approach for Interference in Ranking Experiments." (Web Appendix, Slides)
Marketing Science, Vol. 43(3), pp 590-614.
Yoganarasimhan, H., Barzegary, E., and Pani, A. (2023), "Design and Evaluation of Optimal Free Trials." (Web Appendix, Slides)
Management Science, Vol. 69(6), pp 3220-3240.
Bojd, B. and Yoganarasimhan, H. (2022), "Star-Cursed Lovers: Role of Popularity Information in Online Dating." (Web Appendix, Slides)
Marketing Science, Vol. 41(1), pp 73-92.
Yoganarasimhan, H. (2016), "Estimation of Beauty Contest Auctions." (Web Appendix, Slides, Code)
Marketing Science, Vol. 35(1), pp 27-54.
Finalist, John D.C. Little Best Paper Award, 2016
Yoganarasimhan, H. (2013), "The Value of Reputation in Online Freelance Marketplaces." (Web Appendix, Slides)
Marketing Science, Vol. 32(6), pp 860-891.
Finalist, Don Morrison Long Term Impact Award, 2023
Winner, John D.C. Little Best Paper Award, 2013
Yoganarasimhan, H. (2012), "Impact of Social Network Structure on Content Propagation – A Study using YouTube Data."
Quantitative Marketing and Economics, Vol. 10(1), pp 111–150.
Mosaffa, M., Rafieian, O., and Yoganarasimhan, H. (2025), "Visual Polarization Measurement Using Counterfactual Image Generation." Working paper.
Cheng, M., Ofek, E., and Yoganarasimhan, H. (2025), "Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs." Working paper.
Ye, Z., Yoganarasimhan, H., and Zheng, Y. (2025), "LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments." (Web Appendix, Slides, GitHub)
Marketing Science, Vol. 44(5), pp 995-1016.
Yoganarasimhan, Hema, and Iakovetskaia, I. (2024), "From Feeds to Inboxes: A Comparative Study of Polarization in Facebook and Email News Sharing." (Web Appendix, GitHub)
Management Science, Vol. 70(9), pp 6461-6472.
Iyer, G. and Yoganarasimhan, H. (2021), "Strategic Polarization in Group Interactions." (Web Appendix, Slides)
Journal of Marketing Research, Vol 58(4), pp 782-800.
Mummalaneni, S., Yoganarasimhan, H., and Pathak, V. (2024), "How Do Content Producers Respond to Engagement on Social Media Platforms?" (Slides) Forthcoming, Marketing Science.
Jain, L., Li, Z., Loghmani, E., Mason, B., and Yoganarasimhan, H. (2024), "Effective Adaptive Exploration of Prices and Promotions in Choice-Based Demand Models." (Web Appendix, Slides, GitHub)
Marketing Science, Vol. 43(5), pp 1002-1030.
Yoganarasimhan, H., Barzegary, E., and Pani, A. (2023), "Design and Evaluation of Optimal Free Trials." (Web Appendix, Slides)
Management Science, Vol. 69(6), pp 3220-3240.
Rafieian, O. and Yoganarasimhan, H. (2021), "Targeting and Privacy in Mobile Advertising." (Web Appendix, Slides)
Marketing Science, Vol 40(2), pp 193-218. (Lead article.)
Winner, Frank M. Bass Outstanding Dissertation Award, 2021
Finalist, John D.C. Litte Best Paper Award, 2021
Yoganarasimhan, H. (2020), "Search Personalization using Machine Learning." (Web Appendix, Slides)
Management Science, Vol 66(3), pp 1045-1070.
Mummalaneni, S., Yoganarasimhan, H., and Pathak, V. (2024), "How Do Content Producers Respond to Engagement on Social Media Platforms?" (Slides) Forthcoming, Marketing Science.
Yoganarasimhan, Hema, and Iakovetskaia, I. (2024), "From Feeds to Inboxes: A Comparative Study of Polarization in Facebook and Email News Sharing." (Web Appendix, GitHub) Management Science, Vol. 70(9), pp 6461-6472.
Yoganarasimhan, H. (2017), "Identifying the Presence and Cause of Fashion Cycles in Data." (Web Appendix)
Journal of Marketing Research, Vol 54(1), pp 5-26. (Lead article.)
Finalist, Paul Green Best Paper Award, 2017.
Yoganarasimhan, H. (2012), "Impact of Social Network Structure on Content Propagation – A Study using YouTube Data."
Quantitative Marketing and Economics, Vol. 10(1), pp 111–150.
Mayzlin, D., and Yoganarasimhan, H. (2012), "Link to Success – How Blogs Build an Audience by Promoting Rivals," (Web Appendix).
Management Science, Vol. 58(9), pp 1651–1668.
Yoganarasimhan, H. (2017), "Identifying the Presence and Cause of Fashion Cycles in Data." (Web Appendix)
Journal of Marketing Research, Vol 54(1), pp 5-26. (Lead article.)
Finalist, Paul Green Best Paper Award, 2017.
Yoganarasimhan, H. (2012), "Cloak or Flaunt? – The Fashion Dilemma."
Marketing Science, Vol. 31(1), pp 74–95.
Winner, Frank M. Bass Outstanding Dissertation Award, 2012
Finalist, John D.C. Litte Best Paper Award, 2012
Kang, E. and Yoganarasimhan, H. (2026), "TextBO: Bayesian Optimization in Language Space for Eval-Efficient Self-Improving AI." (Slides, Github for Ad Creative Experiments, Github for Agentic AI Experiments) Working Paper.
Rafieian, O., and Yoganarasimhan, H. (2022), "Variety Effects in Advertising." (Web Appendix)
Journal of Marketing Research, Vol. 59(4), pp 718-738.
Finalist, AMA-MRSIG Don Lehmann Award, 2023
Rafieian, O. and Yoganarasimhan, H. (2021), "Targeting and Privacy in Mobile Advertising." (Web Appendix, Slides)
Marketing Science, Vol 40(2), pp 193-218. (Lead article.)
Winner, Frank M. Bass Outstanding Dissertation Award, 2021
Finalist, John D.C. Litte Best Paper Award, 2021
Yoganarasimhan, H. (2012), "Cloak or Flaunt? – The Fashion Dilemma."
Marketing Science, Vol. 31(1), pp 74–95.
Winner, Frank M. Bass Outstanding Dissertation Award, 2012
Finalist, John D.C. Litte Best Paper Award, 2012
Kang, E. and Yoganarasimhan, H. (2026), "TextBO: Bayesian Optimization in Language Space for Eval-Efficient Self-Improving AI." (Slides, Github for Ad Creative Experiments, Github for Agentic AI Experiments) Working Paper.
Cheng, M., Ofek, E., and Yoganarasimhan, H. (2025), "Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs." Working Paper
Ye, Z. and Yoganarasimhan, H. (2025), "Fair Document Valuation in LLM Summaries via Shapley Values." (Slides, GitHub) Working Paper
Ye, Z., Yoganarasimhan, H., and Zheng, Y. (2025), "LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments." (Web Appendix, Slides, GitHub)
Marketing Science, Vol. 44(5), pp 995-1016.
Yoganarasimhan, Hema, and Iakovetskaia, I. (2024), "From Feeds to Inboxes: A Comparative Study of Polarization in Facebook and Email News Sharing." (Web Appendix, GitHub) Management Science, Vol. 70(9), pp 6461-6472.
Kang, E. and Yoganarasimhan, H. (2026), "TextBO: Bayesian Optimization in Language Space for Eval-Efficient Self-Improving AI." (Slides, Github for Ad Creative Experiments, Github for Agentic AI Experiments) Working Paper.
Kang, E., Yoganarasimhan, H., and Jain, L. (2025), "An Empirical Risk Minimization Approach for Offline Inverse RL and Dynamic Discrete Choice Model."
Barzegary, E. and Yoganarasimhan, H. (2025), "A Recursive Partitioning Approach for Dynamic Discrete Choice Models in High-Dimensional Settings." (Slides, GitHub) Working Paper
Mummalaneni, S., Yoganarasimhan, H., and Pathak, V. (2024), "How Do Content Producers Respond to Engagement on Social Media Platforms?" (Slides) Forthcoming, Marketing Science.
Singh, A., Liu, Y., and Yoganarasimhan, H. (2025), "Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets." Working Paper
Mosaffa, M., Rafieian, O., and Yoganarasimhan, H. (2025), "Visual Polarization Measurement Using Counterfactual Image Generation." Working Paper
Cheng, M., Ofek, E., and Yoganarasimhan, H. (2025), "Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs." Working Paper
Ye, Z. and Yoganarasimhan, H. (2026), "Fair Document Valuation in LLM Summaries via Shapley Values." (Slides, GitHub) Working Paper
Ye, Z., Yoganarasimhan, H., and Zheng, Y. (2025), "LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments." (Web Appendix, Slides, GitHub)
Marketing Science, Vol. 44(5), pp 995-1016.
Jain, L., Li, Z., Loghmani, E., Mason, B., and Yoganarasimhan, H. (2024), "Effective Adaptive Exploration of Prices and Promotions in Choice-Based Demand Models." (Web Appendix, Slides, GitHub)
Marketing Science, Vol. 43(5), pp 1002-1030.
Yoganarasimhan, Hema, and Iakovetskaia, I. (2024), "From Feeds to Inboxes: A Comparative Study of Polarization in Facebook and Email News Sharing." (Web Appendix, GitHub) Management Science, Vol. 70(9), pp 6461-6472.
Goli A., Lambrecht, A., and Yoganarasimhan, H. (2024), "A Bias Correction Approach for Interference in Ranking Experiments." (Web Appendix, Slides)
Marketing Science, Vol. 43(3), pp 590-614.
Yoganarasimhan, H., Barzegary, E., and Pani, A. (2023), "Design and Evaluation of Optimal Free Trials." (Web Appendix, Slides)
Management Science, Vol. 69(6), pp 3220-3240.
Rafieian, O. and Yoganarasimhan, H. (2021), "Targeting and Privacy in Mobile Advertising." (Web Appendix, Slides)
Marketing Science, Vol 40(2), pp 193-218. (Lead article.)
Winner, Frank M. Bass Outstanding Dissertation Award, 2021
Finalist, John D.C. Litte Best Paper Award, 2021
Yoganarasimhan, H. (2020), "Search Personalization using Machine Learning." (Web Appendix, Slides)
Management Science, Vol 66(3), pp 1045-1070.
Kang, E., Yoganarasimhan, H., and Jain, L. (2025), "An Empirical Risk Minimization Approach for Offline Inverse RL and Dynamic Discrete Choice Model." Working Paper
Biswas, S., Yoganarasimhan, H., and Zhang, H. (2025), "How Does Online Shopping Affect Offline Price Sensitivity?" Working Paper
Barzegary, E. and Yoganarasimhan, H. (2025), "A Recursive Partitioning Approach for Dynamic Discrete Choice Models in High-Dimensional Settings." (Slides, GitHub) Working Paper
Singh, A., Liu, Y., and Yoganarasimhan, H. (2025), "Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets." (Github) Forthcoming at Marketing Science.
Jain, L., Li, Z., Loghmani, E., Mason, B., and Yoganarasimhan, H. (2024), "Effective Adaptive Exploration of Prices and Promotions in Choice-Based Demand Models." (Web Appendix, Slides, GitHub)
Marketing Science, Vol. 43(5), pp 1002-1030.
Yoganarasimhan, H. (2016), "Estimation of Beauty Contest Auctions." (Web Appendix, Slides, Code)
Marketing Science, Vol. 35(1), pp 27-54.
Finalist, John D.C. Little Best Paper Award, 2016
Yoganarasimhan, H. (2013), "The Value of Reputation in Online Freelance Marketplaces." (Web Appendix, Slides)
Marketing Science, Vol. 32(6), pp 860-891.
Finalist, Don Morrison Long Term Impact Award, 2023
Winner, John D.C. Little Best Paper Award, 2013
Ye, Z. and Yoganarasimhan, H. (2026), "Fair Document Valuation in LLM Summaries via Shapley Values." (Slides, GitHub)
Iyer, G. and Yoganarasimhan, H. (2021), "Strategic Polarization in Group Interactions." (Web Appendix, Slides)
Journal of Marketing Research, Vol 58(4), pp 782-800.
Yoganarasimhan, H. (2012), "Cloak or Flaunt? – The Fashion Dilemma."
Marketing Science, Vol. 31(1), pp 74–95.
Winner, Frank M. Bass Outstanding Dissertation Award, 2012
Finalist, John D.C. Litte Best Paper Award, 2012
Mayzlin, D., and Yoganarasimhan, H. (2012), "Link to Success – How Blogs Build an Audience by Promoting Rivals," (Web Appendix).
Management Science, Vol. 58(9), pp 1651–1668.
Mummalaneni, S., Yoganarasimhan, H., and Pathak, V. (2024), "How Do Content Producers Respond to Engagement on Social Media Platforms?" (Slides) Forthcoming, Marketing Science.
Ye, Z., Yoganarasimhan, H., and Zheng, Y. (2025), "LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments." (Web Appendix, Slides, GitHub)
Marketing Science, Vol. 44(5), pp 995-1016.
Jain, L., Li, Z., Loghmani, E., Mason, B., and Yoganarasimhan, H. (2024), "Effective Adaptive Exploration of Prices and Promotions in Choice-Based Demand Models." (Web Appendix, Slides, GitHub)
Marketing Science, Vol. 43(5), pp 1002-1030.
Goli A., Lambrecht, A., and Yoganarasimhan, H. (2024), "A Bias Correction Approach for Interference in Ranking Experiments." (Web Appendix, Slides)
Marketing Science, Vol. 43(3), pp 590-614.
Yoganarasimhan, H., Barzegary, E., and Pani, A. (2023), "Design and Evaluation of Optimal Free Trials." (Web Appendix, Slides)
Management Science, Vol. 69(6), pp 3220-3240.
Kang, E. and Yoganarasimhan, H. (2026), "TextBO: Bayesian Optimization in Language Space for Eval-Efficient Self-Improving AI." (Slides, Github for Ad Creative Experiments, Github for Agentic AI Experiments) Working Paper.
Ye, Z., Yoganarasimhan, H., and Zheng, Y. (2025), "LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments." (Web Appendix, Slides, GitHub)
Marketing Science, Vol. 44(5), pp 995-1016.
Jain, L., Li, Z., Loghmani, E., Mason, B., and Yoganarasimhan, H. (2024), "Effective Adaptive Exploration of Prices and Promotions in Choice-Based Demand Models." (Web Appendix, Slides, GitHub)
Marketing Science, Vol. 43(5), pp 1002-1030.
Iyer, G. and Yoganarasimhan, H. (2021), "Strategic Polarization in Group Interactions." (Web Appendix, Slides)
Journal of Marketing Research, Vol 58(4), pp 782-800.
Rafieian, O. and Yoganarasimhan, H. (2021), "Targeting and Privacy in Mobile Advertising." (Web Appendix, Slides)
Marketing Science, Vol 40(2), pp 193-218. (Lead article.)
Winner, Frank M. Bass Outstanding Dissertation Award, 2021
Finalist, John D.C. Litte Best Paper Award, 2021
Yoganarasimhan, H. (2016), "Estimation of Beauty Contest Auctions." (Web Appendix, Slides, Code)
Marketing Science, Vol. 35(1), pp 27-54.
Finalist, John D.C. Little Best Paper Award, 2016
Yoganarasimhan, H. (2013), "The Value of Reputation in Online Freelance Marketplaces." (Web Appendix, Slides)
Marketing Science, Vol. 32(6), pp 860-891.
Finalist, Don Morrison Long Term Impact Award, 2023
Winner, John D.C. Little Best Paper Award, 2013
Biswas, S., Yoganarasimhan, H., and Zhang, H. (2025), "How Does Online Shopping Affect Offline Price Sensitivity?" Working Paper.
Biswas, S., Yoganarasimhan, H., and Zhang, H. (2025), "Channel Adoption Pathways and Post-Adoption Behavior." Working Paper.
Singh, A., Liu, Y., and Yoganarasimhan, H. (2025), "Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets." (Github) Forthcoming at Marketing Science.
Barzegary, E. and Yoganarasimhan, H. (2025), "A Recursive Partitioning Approach for Dynamic Discrete Choice Models in High-Dimensional Settings." (Slides, GitHub)
Jain, L., Li, Z., Loghmani, E., Mason, B., and Yoganarasimhan, H. (2024), "Effective Adaptive Exploration of Prices and Promotions in Choice-Based Demand Models." (Web Appendix, Slides, GitHub)
Marketing Science, Vol. 43(5), pp 1002-1030.