Daniel N. Hill

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 12

Top Topics

Multi Armed Bandit Problems

Query Dependent

Learn A Ranking Function

Top Venues

Publications

Adam Block, Rahul Kidambi, Daniel N. Hill, Thorsten Joachims, Inderjit S. Dhillon
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion. CoRR (2022)
Adam Block, Rahul Kidambi, Daniel N. Hill, Thorsten Joachims, Inderjit S. Dhillon
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion. SIGIR (2022)
Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean P. Foster, Daniel N. Hill, Inderjit S. Dhillon
Top-k eXtreme Contextual Bandits with Arm Hierarchy. CoRR (2021)
Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean Foster, Daniel N. Hill, Inderjit S. Dhillon
Top-k eXtreme Contextual Bandits with Arm Hierarchy. ICML (2021)
Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon
Session-Aware Query Auto-completion using Extreme Multi-Label Ranking. KDD (2021)
Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon
Session-Aware Query Auto-completion using Extreme Multi-label Ranking. CoRR (2020)
Qingyao Ai, Daniel N. Hill, S. V. N. Vishwanathan, W. Bruce Croft
A Zero Attention Model for Personalized Product Search. CoRR (2019)
Qingyao Ai, Daniel N. Hill, S. V. N. Vishwanathan, W. Bruce Croft
A Zero Attention Model for Personalized Product Search. CIKM (2019)
Choon Hui Teo, Houssam Nassif, Daniel N. Hill, Sriram Srinivasan, Mitchell Goodman, Vijai Mohan, S. V. N. Vishwanathan
Adaptive, Personalized Diversity for Visual Discovery. CoRR (2018)
Daniel N. Hill, Houssam Nassif, Yi Liu, Anand Iyer, S. V. N. Vishwanathan
An Efficient Bandit Algorithm for Realtime Multivariate Optimization. CoRR (2018)
Daniel N. Hill, Houssam Nassif, Yi Liu, Anand Iyer, S. V. N. Vishwanathan
An Efficient Bandit Algorithm for Realtime Multivariate Optimization. KDD (2017)
Choon Hui Teo, Houssam Nassif, Daniel N. Hill, Sriram Srinivasan, Mitchell Goodman, Vijai Mohan, S. V. N. Vishwanathan
Adaptive, Personalized Diversity for Visual Discovery. RecSys (2016)
Daniel N. Hill, Robert Moakler, Alan E. Hubbard, Vadim Tsemekhman, Foster J. Provost, Kiril Tsemekhman
Measuring Causal Impact of Online Actions via Natural Experiments: Application to Display Advertising. KDD (2015)