Plis, Sergey

13 publications

TMLR 2026 SSFL: Discovering Sparse Unified Subnetworks at Initialization for Efficient Federated Learning Riyasat Ohib, Bishal Thapaliya, Gintare Karolina Dziugaite, Jingyu Liu, Vince D. Calhoun, Sergey Plis

NeurIPS 2024 Efficient Reinforcement Learning by Discovering Neural Pathways Samin Yeasar Arnob, Riyasat Ohib, Sergey Plis, Amy Zhang, Alessandro Sordoni, Doina Precup

CLeaR 2023 Causal Learning Through Deliberate Undersampling Kseniya Solovyeva, David Danks, Mohammadsajad Abavisani, Sergey Plis

ICMLW 2023 Federated, Fast, and Private Visualization of Decentralized Data Debbrata Kumar Saha, Vince Calhoun, Soo Min Kwon, Anand Sarwate, Rekha Saha, Sergey Plis

ICLR 2023 GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints Mohammadsajad Abavisani, David Danks, Sergey Plis

TMLR 2022 Explicit Group Sparse Projection with Applications to Deep Learning and NMF Riyasat Ohib, Nicolas Gillis, Niccolo Dalmasso, Sameena Shah, Vamsi K. Potluru, Sergey Plis

NeurIPSW 2022 GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints Mohammadsajad Abavisani, David Danks, Vince Calhoun, Sergey Plis

ICLRW 2022 Geometrically Guided Saliency Maps Md Mahfuzur Rahman, Noah Lewis, Sergey Plis

NeurIPSW 2022 Information Bottleneck for Multi-Task LSTMs Bradley Thomas Baker, Noah Lewis, Debratta Saha, Md Abdur Rahaman, Sergey Plis, Vince Calhoun

NeurIPSW 2022 Reducing Causal Illusions Through Deliberate Undersampling Kseniya Solovyeva, David Danks, Mohammadsajad Abavisani, Sergey Plis

ICLRW 2021 Attend to Connect: End-to-End Brain Functional Connectivity Estimation Usman Mahmood, Zening Fu, Vince Calhoun, Sergey Plis

PGM 2016 Causal Discovery from Subsampled Time Series Data by Constraint Optimization Antti Hyttinen, Sergey Plis, Matti Järvisalo, Frederick Eberhardt, David Danks

NeurIPS 2015 Rate-Agnostic (Causal) Structure Learning Sergey Plis, David Danks, Cynthia Freeman, Vince Calhoun