Academics

Publications

* denotes equal contribution. Authorship in robust statistics works is in alphabetical order.

Language Models

1. Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries
   Junhyuck Kim, JP, Jaewoong Cho, Dimitris Papailiopoulos
   Preprint.

2. Task Diversity Shortens the ICL Plateau
   Jaeyeon Kim, Sehyun Kwon, Joo Young Choi, JP, Jaewoong Cho, Jason D. Lee, Ernest K. Ryu
   Preprint.

3. 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
   ICML 2024.

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

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

Robust Statistics

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.

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)