Comparison of Free-Text Synthetic Data Produced by Three Generative Adversarial Networks for Collaborative Health Data Analytics. - Gregory-Paul Dexter; Shaun J. Grannis; Suranga Nath Kasthurirathne (AMIA, 2019)

An Adversorial Approach to Enable Re-Use of Machine Learning Models and Collaborative Research Efforts Using Synthetic Unstructured Free-Text Medical Data. - Suranga Nath Kasthurirathne; Gregory Dexter; Shaun J. Grannis (MedInfo, 2019)

Randomized Linear Algebra Approaches to Estimate the von Neumann Entropy of Density Matrices. - Eugenia-Maria Kontopoulou; Gregory-Paul Dexter; Wojciech Szpankowski; Ananth Grama; Petros Drineas (IEEE Trans. Inf. Theory, 2020)

Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees. - Gregory Dexter; Kevin Bello; Jean Honorio (NeurIPS, 2021)

Inverse Reinforcement Learning in the Continuous Setting with Formal Guarantees. - Gregory Dexter; Kevin Bello; Jean Honorio (CoRR, 2021)

On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming. - Gregory Dexter; Agniva Chowdhury; Haim Avron; Petros Drineas (ICML, 2022)

Faster Randomized Interior Point Methods for Tall/Wide Linear Programs. - Agniva Chowdhury; Gregory Dexter; Palma London; Haim Avron; Petros Drineas (J. Mach. Learn. Res., 2022)

Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming. - Gregory Dexter; Petros Drineas; David P. Woodruff; Taisuke Yasuda 002 (NeurIPS, 2023)

Feature Space Sketching for Logistic Regression. - Gregory Dexter; Rajiv Khanna; Jawad Raheel; Petros Drineas (CoRR, 2023)

A Precise Characterization of SGD Stability Using Loss Surface Geometry. - Gregory Dexter; Borja Ocejo; S. Sathiya Keerthi; Aman Gupta; Ayan Acharya; Rajiv Khanna (ICLR, 2024)

Universal Matrix Sparsifiers and Fast Deterministic Algorithms for Linear Algebra. - Rajarshi Bhattacharjee; Gregory Dexter; Cameron Musco; Archan Ray; Sushant Sachdeva; David P. Woodruff (ITCS, 2024)

The Space Complexity of Approximating Logistic Loss. - Gregory Dexter; Petros Drineas; Rajiv Khanna (NeurIPS, 2024)

MaSk-LMM: A Matrix Sketching Framework for Linear Mixed Models in Association Studies. - Myson C. Burch; Aritra Bose; Gregory Dexter; Laxmi Parida; Petros Drineas (RECOMB, 2024)

Sublinear Time Eigenvalue Approximation via Random Sampling. - Rajarshi Bhattacharjee; Gregory Dexter; Petros Drineas; Cameron Musco; Archan Ray (Algorithmica, 2024)

Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems. - Kayhan Behdin; Yun Dai; Gregory Dexter; Aman Gupta; Rahul Mazumder; Ankan Saha; Qingquan Song; Shao Tang; Sirou Zhu; Pin-Lun Hsu (WWW (Companion Volume), 2025)

Stochastic Rounding Implicitly Regularizes Tall-and-Thin Matrices. - Gregory Dexter; Christos Boutsikas; Linkai Ma; Ilse C. F. Ipsen; Petros Drineas (SIAM J. Matrix Anal. Appl., 2025)

LLM Query Scheduling with Prefix Reuse and Latency Constraints. - Gregory Dexter; Shao Tang; Ata Fatahi Baarzi; Qingquan Song; Tejas Dharamsi; Aman Gupta (CoRR, 2025)

Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications. - Kayhan Behdin; Yun Dai; Ata Fatahi Baarzi; Aman Gupta; Qingquan Song; Shao Tang; Hejian Sang; Gregory Dexter; Sirou Zhu; Siyu Zhu; Tejas Dharamsi; Maziar Sanjabi; et al. (CoRR, 2025)