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James McInerney
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2020 – today
- 2024
- [i9]Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári:
Switching the Loss Reduces the Cost in Batch Reinforcement Learning. CoRR abs/2403.05385 (2024) - [i8]James McInerney, Nathan Kallus:
Hessian-Free Laplace in Bayesian Deep Learning. CoRR abs/2403.10671 (2024) - 2023
- [c16]Ding Tong, Qifeng Qiao, Ting-Po Lee, James McInerney, Justin Basilico:
Navigating the Feedback Loop in Recommender Systems: Insights and Strategies from Industry Practice. RecSys 2023: 1058-1061 - 2022
- [c15]Nathan Kallus, James McInerney:
The Implicit Delta Method. NeurIPS 2022 - [i7]Nathan Kallus, James McInerney:
The Implicit Delta Method. CoRR abs/2211.06457 (2022) - 2021
- [c14]James McInerney, Ehtsham Elahi, Justin Basilico, Yves Raimond, Tony Jebara:
Accordion: A Trainable Simulator forLong-Term Interactive Systems. RecSys 2021: 102-113 - [i6]James McInerney, Nathan Kallus:
Residual Overfit Method of Exploration. CoRR abs/2110.02919 (2021) - 2020
- [c13]James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Benjamin A. Carterette:
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. KDD 2020: 1779-1788 - [i5]James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Ben Carterette:
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. CoRR abs/2007.12986 (2020)
2010 – 2019
- 2019
- [c12]Alois Gruson, Praveen Chandar, Christophe Charbuillet, James McInerney, Samantha Hansen, Damien Tardieu, Ben Carterette:
Offline Evaluation to Make Decisions About PlaylistRecommendation Algorithms. WSDM 2019: 420-428 - 2018
- [c11]Rishabh Mehrotra, James McInerney, Hugues Bouchard, Mounia Lalmas, Fernando Diaz:
Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems. CIKM 2018: 2243-2251 - [c10]James McInerney, Benjamin Lacker, Samantha Hansen, Karl Higley, Hugues Bouchard, Alois Gruson, Rishabh Mehrotra:
Explore, exploit, and explain: personalizing explainable recommendations with bandits. RecSys 2018: 31-39 - 2017
- [c9]James McInerney:
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms. NIPS 2017: 2712-2721 - 2016
- [c8]Stephan Mandt, James McInerney, Farhan Abrol, Rajesh Ranganath, David M. Blei:
Variational Tempering. AISTATS 2016: 704-712 - [c7]Dawen Liang, Laurent Charlin, James McInerney, David M. Blei:
Modeling User Exposure in Recommendation. WWW 2016: 951-961 - 2015
- [c6]James McInerney, Rajesh Ranganath, David M. Blei:
The Population Posterior and Bayesian Modeling on Streams. NIPS 2015: 1153-1161 - [c5]Laurent Charlin, Rajesh Ranganath, James McInerney, David M. Blei:
Dynamic Poisson Factorization. RecSys 2015: 155-162 - [i4]Laurent Charlin, Rajesh Ranganath, James McInerney, David M. Blei:
Dynamic Poisson Factorization. CoRR abs/1509.04640 (2015) - [i3]Dawen Liang, Laurent Charlin, James McInerney, David M. Blei:
Modeling User Exposure in Recommendation. CoRR abs/1510.07025 (2015) - 2014
- [b1]James McInerney:
Intelligent agents for mobile location services. University of Southampton, UK, 2014 - 2013
- [j2]Iyad Rahwan, Sohan Dsouza, Alex Rutherford, Victor Naroditskiy, James McInerney, Matteo Venanzi, Nicholas R. Jennings, Manuel Cebrián:
Global Manhunt Pushes the Limits of Social Mobilization. Computer 46(4): 68-75 (2013) - [j1]James McInerney, Sebastian Stein, Alex Rogers, Nicholas R. Jennings:
Breaking the habit: Measuring and predicting departures from routine in individual human mobility. Pervasive Mob. Comput. 9(6): 808-822 (2013) - [c4]James McInerney, Jiangchuan Zheng, Alex Rogers, Nicholas R. Jennings:
Modelling heterogeneous location habits in human populations for location prediction under data sparsity. UbiComp 2013: 469-478 - [c3]Ngoc Cuong Truong, James McInerney, Long Tran-Thanh, Enrico Costanza, Sarvapali D. Ramchurn:
Forecasting Multi-Appliance Usage for Smart Home Energy Management. IJCAI 2013: 2908-2914 - [c2]James McInerney, Alex Rogers, Nicholas R. Jennings:
Learning Periodic Human Behaviour Models from Sparse Data for Crowdsourcing Aid Delivery in Developing Countries. UAI 2013 - [i2]Alex Rutherford, Manuel Cebrián, Iyad Rahwan, Sohan Dsouza, James McInerney, Victor Naroditskiy, Matteo Venanzi, Nicholas R. Jennings, J. R. deLara, Eero Wahlstedt, Steven U. Miller:
Targeted Social Mobilisation in a Global Manhunt. CoRR abs/1304.5097 (2013) - [i1]James McInerney, Alex Rogers, Nicholas R. Jennings:
Learning Periodic Human Behaviour Models from Sparse Data for Crowdsourcing Aid Delivery in Developing Countries. CoRR abs/1309.6846 (2013) - 2012
- [c1]James McInerney, Alex Rogers, Nicholas R. Jennings:
Improving location prediction services for new users with probabilistic latent semantic analysis. UbiComp 2012: 906-910
Coauthor Index
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