Charlie Hou

201920202021202220231 15 15 49 31

Giulia FantiCarnegie Mellon University, ECE DepartmentVerified email at andrew.cmu.edu
Kiran Koshy ThekumparampilAmazon, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Sewoong OhPaul G. Allen School of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Mingxun ZhouCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Philip DaianPhD Student, Cornell UniversityVerified email at cs.cornell.edu
Yan JiPhD Student in Computer Science, Cornell UniversityVerified email at CORNELL.EDU
Florian TramèrAssistant Professor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Ari JuelsProfessor, Computer Science, Cornell Tech (Jacobs); Co-Director, IC3Verified email at cornell.edu

Charlie Hou

Verified email at andrew.cmu.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
SquirRL: Automating attack analysis on blockchain incentive mechanisms with deep reinforcement learning C Hou, M Zhou, Y Ji, P Daian, F Tramer, G Fanti, A Juels arXiv preprint arXiv:1912.01798, 2019	78	2019
Efficient algorithms for federated saddle point optimization C Hou, KK Thekumparampil, G Fanti, S Oh arXiv preprint arXiv:2102.06333, 2021	18	2021
FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning C Hou, KK Thekumparampil, G Fanti, S Oh International Conference on Learning Representations, 2021	11*	2021
Multistage stepsize schedule in federated learning: Bridging theory and practice GFC Hou, K Thekumparampil, S Oh ICML Workshop 12, 2021	3	2021
Privately Customizing Prefinetuning to Better Match User Data in Federated Learning C Hou, H Zhan, A Shrivastava, S Wang, S Livshits, G Fanti, D Lazar arXiv preprint arXiv:2302.09042, 2023	1	2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity C Hou, KK Thekumparampil, M Shavlovsky, G Fanti, Y Dattatreya, ... arXiv preprint arXiv:2308.00177, 2023		2023

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