Academics

Publications

Authorship is in alphabetical order as is customary in theoretical computer science, unless it is not. * denotes equal contribution.

Robust Learning
  1. First Order Stochastic Optimization with Oblivious Noise
    Ilias Diakonikolas, Sushrut Karmalkar, JP, Christos Tzamos
    NeurIPS 2023

  2. GLM Regression with Oblivious Corruptions
    Ilias Diakonikolas, Sushrut Karmalkar, JP, Christos Tzamos
    COLT 2023

  3. ReLU Regression with Massart Noise
    Ilias Diakonikolas, JP, Christos Tzamos
    NeurIPS 2021

  4. On Robust Mean Estimation under Coordinate-level Corruption
    Zifan Liu*, JP*, Theodoros Rekatsinas, Christos Tzamos
    ICML 2021

Language Learning
  1. Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks
    JP*, Jaeseung Park, Zheyang Xiong, Nayoung Lee, Jaewoong Cho, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
    Preprint

  2. Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
    Gibbeum Lee*, Volker Hartmann*, JP*, Dimitris Papailiopoulos, Kangwook Lee
    Findings of ACL 2023

  3. Literary Event Detection
    Matthew Sims, JP, David Bamman
    ACL 2019

Teaching

I have taught the following courses as a TA (*Head TA) in my undergraduate and graduate years.

UC Berkeley

  • Su17: CS70 (Discrete Math and Probability)

  • Fa18, Sp19: CS170 (Algorithms)

UW Madison

  • Fa19: CS240 (Discrete Math)

  • Sp20, Sp21*: CS577 (Algorithms)

  • Fa20: CS787 (Advanced Algorithms)