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ORCIDKevin Regan 0001
Person information
- affiliation: Google Research
- affiliation: University of Toronto, Department of Computer Science, Canada
Other persons with the same name
- Kevin Regan 0002 — Memorial Sloan-Kettering Cancer Center, New York, NY, USA
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2020 – today
- 2024
[i5]Kshitij Jain, Jingru Xie, Kevin Regan, Cheng Chen, Jie Han, Steve Li, Zhuoshu Li, Todd Phillips, Myles Sussman, Matt Troup, Angel Yu, Jia Zhuo:
Data Efficiency for Large Recommendation Models. CoRR abs/2410.18111 (2024)- 2022
- [c12]Rohan Anil, Sandra Gadanho, Da Huang, Nijith Jacob, Zhuoshu Li, Dong Lin, Todd Phillips, Cristina Pop, Kevin Regan, Gil I. Shamir, Rakesh Shivanna, Qiqi Yan:
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models. ORSUM@RecSys 2022 - [i4]Rohan Anil, Sandra Gadanho, Da Huang, Nijith Jacob, Zhuoshu Li, Dong Lin, Todd Phillips, Cristina Pop, Kevin Regan, Gil I. Shamir, Rakesh Shivanna, Qiqi Yan:
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models. CoRR abs/2209.05310 (2022) - 2020
- [i3]Rohan Anil, Vineet Gupta, Tomer Koren, Kevin Regan, Yoram Singer:
Second Order Optimization Made Practical. CoRR abs/2002.09018 (2020)
2010 – 2019
- 2018
- [c11]Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio:
Large Margin Deep Networks for Classification. NeurIPS 2018: 850-860 - [i2]Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio:
Large Margin Deep Networks for Classification. CoRR abs/1803.05598 (2018) - 2014
- [b1]Kevin Regan:
Regret-based Reward Elicitation for Markov Decision Processes. University of Toronto, Canada, 2014 - 2012
- [i1]Kevin Regan, Craig Boutilier:
Regret-based Reward Elicitation for Markov Decision Processes. CoRR abs/1205.2619 (2012) - 2011
- [c10]Kevin Regan, Craig Boutilier:
Eliciting Additive Reward Functions for Markov Decision Processes. IJCAI 2011: 2159-2164 - [c9]Kevin Regan, Craig Boutilier:
Robust Online Optimization of Reward-Uncertain MDPs. IJCAI 2011: 2165-2171 - 2010
- [c8]Kevin Regan, Craig Boutilier:
Robust Policy Computation in Reward-Uncertain MDPs Using Nondominated Policies. AAAI 2010: 1127-1133 - [c7]Craig Boutilier, Kevin Regan, Paolo Viappiani:
Simultaneous Elicitation of Preference Features and Utility. AAAI 2010: 1160-1167
2000 – 2009
- 2009
- [c6]Craig Boutilier, Kevin Regan, Paolo Viappiani:
Online feature elicitation in interactive optimization. ICML 2009: 73-80 - [c5]Craig Boutilier, Kevin Regan, Paolo Viappiani:
Preference elicitation with subjective features. RecSys 2009: 341-344 - [c4]Kevin Regan, Craig Boutilier:
Regret-based Reward Elicitation for Markov Decision Processes. UAI 2009: 444-451 - 2006
- [c3]Kevin Regan, Pascal Poupart, Robin Cohen:
Bayesian Reputation Modeling in E-Marketplaces Sensitive to Subjectivity, Deception and Change. AAAI 2006: 1206-1212 - [c2]Pascal Poupart, Nikos Vlassis, Jesse Hoey, Kevin Regan:
An analytic solution to discrete Bayesian reinforcement learning. ICML 2006: 697-704 - 2005
- [c1]Kevin Regan, Robin Cohen, Pascal Poupart:
The Advisor-POMDP: A Principled Approach to Trust through Reputation in Electronic Markets. PST 2005
Coauthor Index
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