Chee, Jerry

8 publications

COLT 2025 DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory Jerry Chee, Arturs Backurs, Rainie Heck, Li Zhang, Janardhan Kulkarni, Thomas Rothvoss, Sivakanth Gopi

NeurIPSW 2024 Datasets for Navigating Sensitive Topics in Peference Data and Recommendations Amelia Kovacs, Jerry Chee, Kimia Kazemian, Sarah Dean

ICML 2024 QuIP$#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks Albert Tseng, Jerry Chee, Qingyao Sun, Volodymyr Kuleshov, Christopher De Sa

NeurIPS 2023 QuIP: 2-Bit Quantization of Large Language Models with Guarantees Jerry Chee, Yaohui Cai, Volodymyr Kuleshov, Christopher M De Sa

AISTATS 2023 “Plus/minus the Learning Rate”: Easy and Scalable Statistical Inference with SGD Jerry Chee, Hwanwoo Kim, Panos Toulis

ICLR 2022 How Low Can We Go: Trading Memory for Error in Low-Precision Training Chengrun Yang, Ziyang Wu, Jerry Chee, Christopher De Sa, Madeleine Udell

NeurIPS 2022 Model Preserving Compression for Neural Networks Jerry Chee, Megan Flynn (née Renz), Anil Damle, Christopher M De Sa

AISTATS 2018 Convergence Diagnostics for Stochastic Gradient Descent with Constant Learning Rate Jerry Chee, Panos Toulis