Yangyi Lu 芦洋逸

Yangyi Lu Email: yylu [at] umich (dot) edu Address: 436 West Hall, 1085 South University Avenue, Ann Arbor, MI 48109 Google Scholar

About Me

I am a final year (expected to graduate on May. 2022) Ph.D. student in the Department of Statistics at the University of Michigan (Umich). I received my B.S. in Mathematics and Statistics from Nanjing University in 2016 and my M.S. in Machine Learning from Carnegie Mellon University in 2018.

My research interests are sequential decision making problems and their connection with causality.

Experiences

• Research Intern at Bytedance AI Lab (2021.5 - 2021.8)

• Data Science Intern at Adobe Inc. (2019.5-2019.8)

• Machine Learning Intern at AT&T Bell Laboratories (2018.5-2018.8)

• Research Assistant at Carnegie Mellon University (2018.1-2018.5)

Papers

* indicates equal contributions.

• An Actor-Critic Contextual Bandit Algorithm for Personalized Mobile Health Interventions.
  Huitian Lei, Yangyi Lu, Ambuj Tewari, Susan A. Murphy
  

• Efficient reinforcement learning with prior causal knowledge.
  Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
  Conference on Causal Learning and Reasoning (CLeaR) 2022

• Bandit Algorithms for Precision Medicine
  Yangyi Lu*, Ziping Xu*, Ambuj Tewari
  (To appear as a chapter in the Handbook of Statistical Methods for Precision Medicine edited by Tianxi Cai, Bibhas Chakraborty, Eric Laber, Erica Moodie, and Mark van der Laan)

• Causal Bandits with Unknown Graph Structure
  Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
  Conference on Neural Information Processing Systems (NeurIPS) 2021

• Low-rank Generalized Linear Bandit Problems
  Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
  International Conference on Artificial Intelligence and Statistics (AISTATS) 2021

• How Rare and Common Risk Variation Jointly Affect Liability for Autism Spectrum Disorder
  Lambertus Klei, Lora Lee McClain, Behrang Mahjani, Klea Panayidou, Silvia De Rubeis, Anna-Carin Sall Grahnat, Gun Karlsson, Yangyi Lu, Nadine Melhem, Xinyi Xu, Abraham Reichenberg, Sven Sandin, Christina M. Hultman, Joseph D. Buxbaum, Kathryn Roeder, Bernie Devlin
  Molecular Autism volume 12, Article number: 66 (2021)

• Regret Analysis of Bandit Problems with Causal Background Knowledge
  Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, Zhenyu Yan
  Conference on Uncertainty in Artificial Intelligence (UAI) 2020

Teaching at Umich

• Winter 2022: Graduante student instructor for STATS 551 - Bayesian Modeling

• Winter 2020: Graduate student instructor for STATS 503 - Statistical Learning II: Multivariate Analysis

• Fall 2019: Graduate student instructor for STATS 415 - Data Mining and Statistical Learning

• Winter 2019: Graduate student instructor for STATS 413 - Applied Regression Analysis

• Fall 2018: Graduate student instructor for STATS 250 - Introduction to Statistics and Data Analysis

• Winter 2020: Graduate student instructor for STATS 503 - Statistical Learning II: Multivariate Analysis

Services

• Reviewer for AISTATS, ALT, ICML, ISIT, NeurIPS