Improving location prediction services for new users with probabilistic latent semantic analysis. - James McInerney; Alex Rogers; Nicholas R. Jennings (UbiComp, 2012)

Modelling heterogeneous location habits in human populations for location prediction under data sparsity. - James McInerney; Jiangchuan Zheng; Alex Rogers; Nicholas R. Jennings (UbiComp, 2013)

Forecasting Multi-Appliance Usage for Smart Home Energy Management. - Ngoc Cuong Truong; James McInerney; Long Tran-Thanh; Enrico Costanza; Sarvapali D. Ramchurn (IJCAI, 2013)

Learning Periodic Human Behaviour Models from Sparse Data for Crowdsourcing Aid Delivery in Developing Countries. - James McInerney; Alex Rogers; Nicholas R. Jennings (UAI, 2013)

Global Manhunt Pushes the Limits of Social Mobilization. - Iyad Rahwan; Sohan Dsouza; Alex Rutherford; Victor Naroditskiy; James McInerney; Matteo Venanzi; Nicholas R. Jennings; Manuel Cebrián (Computer, 2013)

Targeted Social Mobilisation in a Global Manhunt - 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 (CoRR, 2013)

Breaking the habit: Measuring and predicting departures from routine in individual human mobility. - James McInerney; Sebastian Stein 001; Alex Rogers; Nicholas R. Jennings (Pervasive Mob. Comput., 2013)

Intelligent agents for mobile location services. - James McInerney (2014)

The Population Posterior and Bayesian Modeling on Streams. - James McInerney; Rajesh Ranganath; David M. Blei (NIPS, 2015)

Dynamic Poisson Factorization. - Laurent Charlin; Rajesh Ranganath; James McInerney; David M. Blei (RecSys, 2015)

Variational Tempering. - Stephan Mandt; James McInerney; Farhan Abrol; Rajesh Ranganath; David M. Blei (AISTATS, 2016)

Modeling User Exposure in Recommendation. - Dawen Liang; Laurent Charlin; James McInerney; David M. Blei (WWW, 2016)

An Empirical Bayes Approach to Optimizing Machine Learning Algorithms. - James McInerney (NIPS, 2017)

Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems. - Rishabh Mehrotra; James McInerney; Hugues Bouchard; Mounia Lalmas; Fernando Diaz 001 (CIKM, 2018)

Explore, exploit, and explain: personalizing explainable recommendations with bandits. - James McInerney; Benjamin Lacker; Samantha Hansen; Karl Higley; Hugues Bouchard; Alois Gruson; Rishabh Mehrotra (RecSys, 2018)

Offline Evaluation to Make Decisions About PlaylistRecommendation Algorithms. - Alois Gruson; Praveen Chandar; Christophe Charbuillet; James McInerney; Samantha Hansen; Damien Tardieu; Ben Carterette (WSDM, 2019)

Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. - James McInerney; Brian Brost; Praveen Chandar; Rishabh Mehrotra; Benjamin A. Carterette (KDD, 2020)

Accordion: A Trainable Simulator forLong-Term Interactive Systems. - James McInerney; Ehtsham Elahi; Justin Basilico; Yves Raimond; Tony Jebara (RecSys, 2021)

Residual Overfit Method of Exploration. - James McInerney; Nathan Kallus (CoRR, 2021)

The Implicit Delta Method. - Nathan Kallus; James McInerney (NeurIPS, 2022)

Navigating the Feedback Loop in Recommender Systems: Insights and Strategies from Industry Practice. - Ding Tong; Qifeng Qiao; Ting-Po Lee; James McInerney; Justin Basilico (RecSys, 2023)

Switching the Loss Reduces the Cost in Batch Reinforcement Learning. - Alex Ayoub; Kaiwen Wang; Vincent Liu; Samuel Robertson; James McInerney; Dawen Liang; Nathan Kallus; Csaba Szepesvári (ICML, 2024)

Hessian-Free Laplace in Bayesian Deep Learning. - James McInerney; Nathan Kallus (CoRR, 2024)

Adjusting regression models for conditional uncertainty calibration. - Ruijiang Gao; Mingzhang Yin; James McInerney; Nathan Kallus (Mach. Learn., 2024)

Variation Due to Regularization Tractably Recovers Bayesian Deep Learning Uncertainty. - James McInerney; Nathan Kallus (AISTATS, 2025)

Optimization of Epsilon-Greedy Exploration. - Ethan Che; Hakan Ceylan; James McInerney; Nathan Kallus (CoRR, 2025)