Kevin Regan

Publication Activity (10 Years)

Years Active: 2005-2022
Publications (10 Years): 5

Top Topics

Structured Learning

Maximum Likelihood

Classification Process

Top Venues

Publications

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)
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 (2022)
Rohan Anil, Vineet Gupta, Tomer Koren, Kevin Regan, Yoram Singer
Second Order Optimization Made Practical. CoRR (2020)
Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio
Large Margin Deep Networks for Classification. NeurIPS (2018)
Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio
Large Margin Deep Networks for Classification. CoRR (2018)
Kevin Regan, Craig Boutilier
Regret-based Reward Elicitation for Markov Decision Processes CoRR (2012)
Kevin Regan, Craig Boutilier
Robust Online Optimization of Reward-Uncertain MDPs. IJCAI (2011)
Kevin Regan, Craig Boutilier
Eliciting Additive Reward Functions for Markov Decision Processes. IJCAI (2011)
Craig Boutilier, Kevin Regan, Paolo Viappiani
Simultaneous Elicitation of Preference Features and Utility. AAAI (2010)
Kevin Regan, Craig Boutilier
Robust Policy Computation in Reward-Uncertain MDPs Using Nondominated Policies. AAAI (2010)
Craig Boutilier, Kevin Regan, Paolo Viappiani
Preference elicitation with subjective features. RecSys (2009)
Kevin Regan, Craig Boutilier
Regret-based Reward Elicitation for Markov Decision Processes. UAI (2009)
Craig Boutilier, Kevin Regan, Paolo Viappiani
Online feature elicitation in interactive optimization. ICML (2009)
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevin Regan
An analytic solution to discrete Bayesian reinforcement learning. ICML (2006)
Kevin Regan, Pascal Poupart, Robin Cohen
Bayesian Reputation Modeling in E-Marketplaces Sensitive to Subjectivity, Deception and Change. AAAI (2006)
Kevin Regan, Robin Cohen, Pascal Poupart
The Advisor-POMDP: A Principled Approach to Trust through Reputation in Electronic Markets. PST (2005)