Riyasat Ohib

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 6

Top Topics

Regularized Regression

Reinforcement Learning

Projection Matrix

Top Venues

Trans. Mach. Learn. Res.

Publications

Riyasat Ohib, Bishal Thapaliya, Gintare Karolina Dziugaite, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis
Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning. CoRR (2024)
Riyasat Ohib, Bishal Thapaliya, Pratyush Gaggenapalli, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis
SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training. CoRR (2023)
Eloy Geenjaar, Donghyun Kim, Riyasat Ohib, Marlena Duda, Amrit Kashyap, Sergey M. Plis, Vince D. Calhoun
Learning low-dimensional dynamics from whole-brain data improves task capture. CoRR (2023)
Riyasat Ohib, Nicolas Gillis, Niccolò Dalmasso, Sameena Shah, Vamsi K. Potluru, Sergey M. Plis
Explicit Group Sparse Projection with Applications to Deep Learning and NMF. Trans. Mach. Learn. Res. 2022 (2022)
Samin Yeasar Arnob, Riyasat Ohib, Sergey M. Plis, Doina Precup
Single-Shot Pruning for Offline Reinforcement Learning. CoRR (2021)
Nicolas Gillis, Riyasat Ohib, Sergey M. Plis, Vamsi K. Potluru
Grouped sparse projection. CoRR (2019)