Gregory Dexter

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Random Sampling

Inverse Reinforcement Learning

Learning Models

Top Venues

Publications

Gregory Dexter, Borja Ocejo, S. Sathiya Keerthi, Aman Gupta, Ayan Acharya, Rajiv Khanna
A Precise Characterization of SGD Stability Using Loss Surface Geometry. ICLR (2024)
Rajarshi Bhattacharjee, Gregory Dexter, Cameron Musco, Archan Ray, Sushant Sachdeva, David P. Woodruff
Universal Matrix Sparsifiers and Fast Deterministic Algorithms for Linear Algebra. ITCS (2024)
Gregory Dexter, Borja Ocejo, S. Sathiya Keerthi, Aman Gupta, Ayan Acharya, Rajiv Khanna
A Precise Characterization of SGD Stability Using Loss Surface Geometry. CoRR (2024)
Rajarshi Bhattacharjee, Gregory Dexter, Petros Drineas, Cameron Musco, Archan Ray
Sublinear Time Eigenvalue Approximation via Random Sampling. Algorithmica 86 (6) (2024)
Myson C. Burch, Aritra Bose, Gregory Dexter, Laxmi Parida, Petros Drineas
MaSk-LMM: A Matrix Sketching Framework for Linear Mixed Models in Association Studies. RECOMB (2024)
Gregory Dexter, Christos Boutsikas, Linkai Ma, Ilse C. F. Ipsen, Petros Drineas
Stochastic Rounding Implicitly Regularizes Tall-and-Thin Matrices. CoRR (2024)
Rajarshi Bhattacharjee, Gregory Dexter, Petros Drineas, Cameron Musco, Archan Ray
Sublinear Time Eigenvalue Approximation via Random Sampling. ICALP (2023)
Rajarshi Bhattacharjee, Gregory Dexter, Cameron Musco, Archan Ray, David P. Woodruff
Universal Matrix Sparsifiers and Fast Deterministic Algorithms for Linear Algebra. CoRR (2023)
Gregory Dexter, Rajiv Khanna, Jawad Raheel, Petros Drineas
Feature Space Sketching for Logistic Regression. CoRR (2023)
Gregory Dexter, Petros Drineas, David P. Woodruff, Taisuke Yasuda
Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming. CoRR (2023)
Gregory Dexter, Petros Drineas, David P. Woodruff, Taisuke Yasuda
Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming. NeurIPS (2023)
Gregory Dexter, Agniva Chowdhury, Haim Avron, Petros Drineas
On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming. ICML (2022)
Agniva Chowdhury, Gregory Dexter, Palma London, Haim Avron, Petros Drineas
Faster Randomized Interior Point Methods for Tall/Wide Linear Programs. J. Mach. Learn. Res. 23 (2022)
Agniva Chowdhury, Gregory Dexter, Palma London, Haim Avron, Petros Drineas
Faster Randomized Interior Point Methods for Tall/Wide Linear Programs. CoRR (2022)
Gregory Dexter, Kevin Bello, Jean Honorio
Inverse Reinforcement Learning in the Continuous Setting with Formal Guarantees. CoRR (2021)
Gregory Dexter, Kevin Bello, Jean Honorio
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees. NeurIPS (2021)
Suranga Nath Kasthurirathne, Gregory Dexter, Shaun J. Grannis
An Adversorial Approach to Enable Re-Use of Machine Learning Models and Collaborative Research Efforts Using Synthetic Unstructured Free-Text Medical Data. MedInfo (2019)