Kevin Regan

18 papers A* 8A 2C 1Journal 5Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Data Efficiency for Large Recommendation Models.
CoRR
Kshitij Jain, Jingru Xie, Kevin Regan, Cheng Chen, Jie Han, Steve Li, Zhuoshu Li, Todd Phillips, Myles Sussman, Matt Troup, Angel Yu, Jia Zhuo
2022 — conf
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models.
ORSUM@RecSys
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
2022 J jnl
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models.
CoRR
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
2020 J jnl
Second Order Optimization Made Practical.
CoRR
Rohan Anil, Vineet Gupta, Tomer Koren, Kevin Regan, Yoram Singer
2018 A* conf
Large Margin Deep Networks for Classification.
NeurIPS
Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio
2018 J jnl
Large Margin Deep Networks for Classification.
CoRR
Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio
2014 — —
Regret-based Reward Elicitation for Markov Decision Processes.
Kevin Regan
2012 J jnl
Regret-based Reward Elicitation for Markov Decision Processes
CoRR
Kevin Regan, Craig Boutilier
2011 A* conf
Eliciting Additive Reward Functions for Markov Decision Processes.
IJCAI
Kevin Regan, Craig Boutilier
2011 A* conf
Robust Online Optimization of Reward-Uncertain MDPs.
IJCAI
Kevin Regan, Craig Boutilier
2010 A* conf
Robust Policy Computation in Reward-Uncertain MDPs Using Nondominated Policies.
AAAI
Kevin Regan, Craig Boutilier
2010 A* conf
Simultaneous Elicitation of Preference Features and Utility.
AAAI
Craig Boutilier, Kevin Regan, Paolo Viappiani
2009 A* conf
Online feature elicitation in interactive optimization.
ICML
Craig Boutilier, Kevin Regan, Paolo Viappiani
2009 A conf
Preference elicitation with subjective features.
RecSys
Craig Boutilier, Kevin Regan, Paolo Viappiani
2009 A conf
Regret-based Reward Elicitation for Markov Decision Processes.
UAI
Kevin Regan, Craig Boutilier
2006 A* conf
An analytic solution to discrete Bayesian reinforcement learning.
ICML
Pascal Poupart, Nikos Vlassis, Jesse Hoey, Kevin Regan
2006 A* conf
Bayesian Reputation Modeling in E-Marketplaces Sensitive to Subjectivity, Deception and Change.
AAAI
Kevin Regan, Pascal Poupart, Robin Cohen
2005 C conf
The Advisor-POMDP: A Principled Approach to Trust through Reputation in Electronic Markets.
PST
Kevin Regan, Robin Cohen, Pascal Poupart