Gregory Dexter

26 papers A* 6A 1B 1Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
DuaLip-GPU Technical Report.
CoRR
Gregory Dexter, Aida Rahmattalabi, Sanjana Garg, Qinquan Song, Ruby Tu, Yuan Gao, Yi Zhang, Zhipeng Wang, Rahul Mazumder
2025 J jnl
Effective Quantization of Muon Optimizer States.
CoRR
Aman Gupta, Rafael Celente, Abhishek Shivanna, D. T. Braithwaite, Gregory Dexter, Shao Tang, Hiroto Udagawa, Daniel Silva, Rohan Ramanath, S. Sathiya Keerthi
2025 J jnl
Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications.
CoRR
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, Vignesh Kothapalli, Hamed Firooz, Zhoutong Fu, Yihan Cao, Pin-Lun Hsu, Fedor Borisyuk, Zhipeng Wang, Rahul Mazumder, Natesh S. Pillai, Luke Simon
2025 — conf
Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems.
WWW (Companion Volume)
Kayhan Behdin, Yun Dai, Gregory Dexter, Aman Gupta, Rahul Mazumder, Ankan Saha, Qingquan Song, Shao Tang, Sirou Zhu, Pin-Lun Hsu
2025 J jnl
LLM Query Scheduling with Prefix Reuse and Latency Constraints.
CoRR
Gregory Dexter, Shao Tang, Ata Fatahi Baarzi, Qingquan Song, Tejas Dharamsi, Aman Gupta
2025 — conf
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems.
EMNLP (Industry Track)
Kayhan Behdin, Ata Fatahi Baarzi, Qingquan Song, Yun Dai, Aman Gupta, Zhipeng Wang, Hejian Sang, Shao Tang, Gregory Dexter, Sirou Zhu, Siyu Zhu, Tejas Dharamsi, Vignesh Kothapalli, Zhoutong Fu, Yihan Cao, Pin-Lun Hsu, Fedor Borisyuk, Natesh S. Pillai, Luke Simon, Rahul Mazumder
2025 J jnl
Stochastic Rounding Implicitly Regularizes Tall-and-Thin Matrices.
SIAM J. Matrix Anal. Appl.
Gregory Dexter, Christos Boutsikas, Linkai Ma, Ilse C. F. Ipsen, Petros Drineas
2024 A* conf
A Precise Characterization of SGD Stability Using Loss Surface Geometry.
ICLR
Gregory Dexter, Borja Ocejo, S. Sathiya Keerthi, Aman Gupta, Ayan Acharya, Rajiv Khanna
2024 J jnl
A Precise Characterization of SGD Stability Using Loss Surface Geometry.
CoRR
Gregory Dexter, Borja Ocejo, S. Sathiya Keerthi, Aman Gupta, Ayan Acharya, Rajiv Khanna
2024 B conf
MaSk-LMM: A Matrix Sketching Framework for Linear Mixed Models in Association Studies.
RECOMB
Myson C. Burch, Aritra Bose, Gregory Dexter, Laxmi Parida, Petros Drineas
2024 J jnl
Stochastic Rounding Implicitly Regularizes Tall-and-Thin Matrices.
CoRR
Gregory Dexter, Christos Boutsikas, Linkai Ma, Ilse C. F. Ipsen, Petros Drineas
2024 J jnl
Sublinear Time Eigenvalue Approximation via Random Sampling.
Algorithmica
Rajarshi Bhattacharjee, Gregory Dexter, Petros Drineas, Cameron Musco, Archan Ray
2024 A* conf
The Space Complexity of Approximating Logistic Loss.
NeurIPS
Gregory Dexter, Petros Drineas, Rajiv Khanna
2024 J jnl
The Space Complexity of Approximating Logistic Loss.
CoRR
Gregory Dexter, Petros Drineas, Rajiv Khanna
2024 A conf
Universal Matrix Sparsifiers and Fast Deterministic Algorithms for Linear Algebra.
ITCS
Rajarshi Bhattacharjee, Gregory Dexter, Cameron Musco, Archan Ray, Sushant Sachdeva, David P. Woodruff
2023 J jnl
Feature Space Sketching for Logistic Regression.
CoRR
Gregory Dexter, Rajiv Khanna, Jawad Raheel, Petros Drineas
2023 A* conf
Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming.
NeurIPS
Gregory Dexter, Petros Drineas, David P. Woodruff, Taisuke Yasuda
2023 J jnl
Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming.
CoRR
Gregory Dexter, Petros Drineas, David P. Woodruff, Taisuke Yasuda
2023 A* conf
Sublinear Time Eigenvalue Approximation via Random Sampling.
ICALP
Rajarshi Bhattacharjee, Gregory Dexter, Petros Drineas, Cameron Musco, Archan Ray
2023 J jnl
Universal Matrix Sparsifiers and Fast Deterministic Algorithms for Linear Algebra.
CoRR
Rajarshi Bhattacharjee, Gregory Dexter, Cameron Musco, Archan Ray, Sushant Sachdeva, David P. Woodruff
2022 J jnl
Faster Randomized Interior Point Methods for Tall/Wide Linear Programs.
CoRR
Agniva Chowdhury, Gregory Dexter, Palma London, Haim Avron, Petros Drineas
2022 J jnl
Faster Randomized Interior Point Methods for Tall/Wide Linear Programs.
J. Mach. Learn. Res.
Agniva Chowdhury, Gregory Dexter, Palma London, Haim Avron, Petros Drineas
2022 A* conf
On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming.
ICML
Gregory Dexter, Agniva Chowdhury, Haim Avron, Petros Drineas
2021 A* conf
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees.
NeurIPS
Gregory Dexter, Kevin Bello, Jean Honorio
2021 J jnl
Inverse Reinforcement Learning in the Continuous Setting with Formal Guarantees.
CoRR
Gregory Dexter, Kevin Bello, Jean Honorio
2019 — conf
An Adversorial Approach to Enable Re-Use of Machine Learning Models and Collaborative Research Efforts Using Synthetic Unstructured Free-Text Medical Data.
MedInfo
Suranga Nath Kasthurirathne, Gregory Dexter, Shaun J. Grannis