Chen, Justin Y

10 publications

ICML 2025 Breaking the $n^1.5$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition Anders Aamand, Justin Y. Chen, Mina Dalirrooyfard, Slobodan Mitrović, Yuriy Nevmyvaka, Sandeep Silwal, Yinzhan Xu

NeurIPS 2025 Differentially Private Gomory-Hu Trees Anders Aamand, Justin Y. Chen, Mina Dalirrooyfard, Slobodan Mitrović, Yuriy Nevmyvaka, Sandeep Silwal, Yinzhan Xu

ICML 2025 Improved Approximations for Hard Graph Problems Using Predictions Anders Aamand, Justin Y. Chen, Siddharth Gollapudi, Sandeep Silwal, Hao Wu

ICLR 2025 Learning-Augmented Frequent Directions Anders Aamand, Justin Y. Chen, Siddharth Gollapudi, Sandeep Silwal, Hao Wu

ICML 2025 Scalable Private Partition Selection via Adaptive Weighting Justin Y. Chen, Vincent Cohen-Addad, Alessandro Epasto, Morteza Zadimoghaddam

NeurIPS 2024 Evaluating the World Model Implicit in a Generative Model Keyon Vafa, Justin Y. Chen, Ashesh Rambachan, Jon Kleinberg, Sendhil Mullainathan

NeurIPSW 2024 Private Text Generation by Seeding Large Language Model Prompts Supriya Nagesh, Justin Y. Chen, Nina Mishra, Tal Wagner

NeurIPS 2024 Statistical-Computational Trade-Offs for Density Estimation Anders Aamand, Alexandr Andoni, Justin Y. Chen, Piotr Indyk, Shyam Narayanan, Sandeep Silwal, Haike Xu

ICML 2023 Data Structures for Density Estimation Anders Aamand, Alexandr Andoni, Justin Y. Chen, Piotr Indyk, Shyam Narayanan, Sandeep Silwal

ICLR 2022 Triangle and Four Cycle Counting with Predictions in Graph Streams Justin Y Chen, Talya Eden, Piotr Indyk, Honghao Lin, Shyam Narayanan, Ronitt Rubinfeld, Sandeep Silwal, Tal Wagner, David Woodruff, Michael Zhang