온라인 학습 및 최적화

• Active Machine Learning for Consideration Heuristics
  MKSCI · 2011 · 인용 96 · Daria Dzyabura, John R. Hauser
• Model Selection Using Database Characteristics: Developing a Classification Tree for Longitudinal Incidence Data
  MKSCI · 2014 · 인용 54 · Eric M. Schwartz, Eric T. Bradlow, Peter S. Fader
• Probabilistic Topic Model for Hybrid Recommender Systems: A Stochastic Variational Bayesian Approach
  MKSCI · 2018 · 인용 89 · Asim Ansari, Yang Li, Jonathan Z. Zhang
• Scalable Target Marketing: Distributed Markov Chain Monte Carlo for Bayesian Hierarchical Models
  JMR · 2020 · 인용 12 · Federico Bumbaca, Sanjog Misra, Peter E. Rossi
• Model-Based Segmentation Featuring Simultaneous Segment-Level Variable Selection
  JMR · 2012 · 인용 41 · Sung‐Hoon Kim, Duncan Κ. H. Fong, Wayne S. DeSarbo
• Dynamic Coupon Targeting Using Batch Deep Reinforcement Learning: An Application to Livestream Shopping
  MKSCI · 2022 · 인용 71 · Xiao Liu
• Commentary: Revisiting Scalable Targeted Marketing with Distributed Markov Chain Monte Carlo
  JMR · 2024 · 인용 1 · Michael T. Braun
• Competitive Model Selection in Algorithmic Targeting
  MKSCI · 2024 · 인용 6 · Ganesh Iyer, T. Tony Ke

2024–2026

• Competitive Model Selection in Algorithmic Targeting
  MKSCI · 2024 · 인용 6 · Ganesh Iyer, T. Tony Ke
• Commentary: Revisiting Scalable Targeted Marketing with Distributed Markov Chain Monte Carlo
  JMR · 2024 · 인용 1 · Michael T. Braun
• Algorithmic Targeting and the Precision-Recall Tradeoff
  MKSCI · 2026 · 인용 0 · Ganesh Iyer, Yugui Yao, Zemin Zhong
• A Bayesian Dual Clustering Approach for Selecting Data and Parameter Granularities
  MKSCI · 2026 · 인용 0 · Mingyung Kim, Eric T. Bradlow, Raghuram Iyengar

최근 6년 2편 이상

• Ganesh Iyer
  이 주제 2편 · University of California, Berkeley · 19년차 · 논문 16편

215편