Kevin Regan

According to our database, Kevin Regan authored at least 14 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models.

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

Proceedings of the 5th Workshop on Online Recommender Systems and User Modeling co-located with the 16th ACM Conference on Recommender Systems, 2022

2020

Second Order Optimization Made Practical.

Rohan Anil, Vineet Gupta, Tomer Koren, Kevin Regan, Yoram Singer

CoRR, 2020

2018

Large Margin Deep Networks for Classification.

Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2014

Regret-based Reward Elicitation for Markov Decision Processes.

Kevin Regan

PhD thesis, 2014

2011

Robust Online Optimization of Reward-Uncertain MDPs.

Kevin Regan, Craig Boutilier

Proceedings of the IJCAI 2011, 2011

Eliciting Additive Reward Functions for Markov Decision Processes.

Kevin Regan, Craig Boutilier

Proceedings of the IJCAI 2011, 2011

2010

Robust Policy Computation in Reward-Uncertain MDPs Using Nondominated Policies.

Kevin Regan, Craig Boutilier

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Simultaneous Elicitation of Preference Features and Utility.

Craig Boutilier, Kevin Regan, Paolo Viappiani

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Regret-based Reward Elicitation for Markov Decision Processes.

Kevin Regan, Craig Boutilier

Proceedings of the UAI 2009, 2009

Preference elicitation with subjective features.

Craig Boutilier, Kevin Regan, Paolo Viappiani

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Online feature elicitation in interactive optimization.

Craig Boutilier, Kevin Regan, Paolo Viappiani

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2006

An analytic solution to discrete Bayesian reinforcement learning.

Pascal Poupart, Nikos Vlassis, Jesse Hoey, Kevin Regan

Proceedings of the Machine Learning, 2006

Bayesian Reputation Modeling in E-Marketplaces Sensitive to Subjectivity, Deception and Change.

Kevin Regan, Pascal Poupart, Robin Cohen

Proceedings of the Proceedings, 2006

2005

The Advisor-POMDP: A Principled Approach to Trust through Reputation in Electronic Markets.

Kevin Regan, Robin Cohen, Pascal Poupart

Proceedings of the Third Annual Conference on Privacy, 2005