Publications

* denotes equal contribution

Preprints

2022

  1. arXiv
    A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making
    arXiv preprint arXiv:2204.10806 2022

2021

  1. arXiv
    Median Optimal Treatment Regimes
    Liu Leqi, and Edward H Kennedy
    arXiv preprint arXiv:2103.01802 2021

Journal

2021

  1. CACM
    When Curation Becomes Creation: Algorithms, microcontent, and the vanishing distinction between platforms and creators
    Communications of the ACM (CACM) 2021

Conference

2022

  1. AISTATS
    Off-Policy Risk Assessment for Markov Decision Processes
    Audrey Huang, Liu Leqi, Zachary C Lipton, and Kamyar Azizzadenesheli
    International Conference on Artificial Intelligence and Statistics (AISTATS) 2022
  2. ICWSM
    Many Ways to be Lonely: Fine-grained Characterization of Loneliness and its Potential Changes in COVID-19
    Yueyi Jiang, Yunfan Jiang, Liu Leqi, and Piotr Winkielman
    International AAAI Conference on Web and Social Media (ICWSM) 2022
  3. AAAI
    Modeling Attrition in Recommender Systems with Departing Bandits
    AAAI Conference on Artificial Intelligence (AAAI) 2022
    Oral Presentation

2021

  1. NeurIPS
    Off-Policy Risk Assessment in Contextual Bandits
    Audrey Huang, Liu Leqi, Zachary Lipton, and Kamyar Azizzadenesheli
    Advances in Neural Information Processing Systems (NeurIPS) 2021
  2. NeurIPS
    Rebounding Bandits for Modeling Satiation Effects
    Advances in Neural Information Processing Systems (NeurIPS) 2021
    Contributed Talk at the Women in Machine Learning (WiML) Workshop, NeurIPS

2020

  1. UAI
    Automated Dependence Plots
    In Conference on Uncertainty in Artificial Intelligence (UAI) 2020
  2. ICML
    Uniform Convergence of Rank-Weighted Learning
    In International Conference on Machine Learning (ICML) 2020

2019

  1. NeurIPS
    Game Design for Eliciting Distinguishable Behavior
    Advances in Neural Information Processing Systems (NeurIPS) 2019
  2. NeurIPS
    On Human-Aligned Risk Minimization
    Advances in Neural Information Processing Systems (NeurIPS) 2019

2018

  1. NeurIPS
    The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models
    Chen Dan, Liu Leqi, Bryon AragamPradeep K Ravikumar, and Eric P Xing
    Advances in Neural Information Processing Systems (NeurIPS) 2018

2016

  1. ICWSM
    Analyzing Personality through Social Media Profile Picture Choice
    Liu Leqi*, Daniel Preotiuc-Pietro*, Zahra Riahi Samani, Mohsen E Moghaddam, and Lyle Ungar
    International AAAI Conference on Web and Social Media (ICWSM) 2016

Workshop

2022

  1. OSC
    Action-Sufficient State Representation Learning for Control with Structural Constraints
    Biwei HuangChaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, and Kun Zhang
    Workshop on Elements of Reasoning: Objects, Structure and Causality at ICLR 2022

2020

  1. RWRL
    On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk
    Audrey Huang, Liu Leqi, Zachary C Lipton, and Kamyar Azizzadenesheli
    Workshop on Challenges of Real World Reinforcement Learning (RWRL) at NeurIPS 2020