Chen, Justin

9 publications

ICLR 2025 System 1.x: Learning to Balance Fast and Slow Planning with Language Models Swarnadeep Saha, Archiki Prasad, Justin Chen, Peter Hase, Elias Stengel-Eskin, Mohit Bansal

ICML 2024 MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models Justin Chen, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal

NeurIPS 2023 Constant Approximation for Individual Preference Stable Clustering Anders Aamand, Justin Chen, Allen Liu, Sandeep Silwal, Pattara Sukprasert, Ali Vakilian, Fred Zhang

NeurIPS 2023 Improved Frequency Estimation Algorithms with and Without Predictions Anders Aamand, Justin Chen, Huy Nguyen, Sandeep Silwal, Ali Vakilian

NeurIPS 2022 (Optimal) Online Bipartite Matching with Degree Information Anders Aamand, Justin Chen, Piotr Indyk

NeurIPS 2022 Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks Anders Aamand, Justin Chen, Piotr Indyk, Shyam Narayanan, Ronitt Rubinfeld, Nicholas Schiefer, Sandeep Silwal, Tal Wagner

ICML 2022 Faster Fundamental Graph Algorithms via Learned Predictions Justin Chen, Sandeep Silwal, Ali Vakilian, Fred Zhang

ICML 2022 Streaming Algorithms for Support-Aware Histograms Justin Chen, Piotr Indyk, Tal Wagner

NeurIPS 2020 Worst-Case Analysis for Randomly Collected Data Justin Chen, Gregory Valiant, Paul Valiant