James McInerney

According to our database, James McInerney authored at least 24 papers between 2012 and 2024.

Collaborative distances:

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

2024

Adjusting regression models for conditional uncertainty calibration.

Ruijiang Gao, Mingzhang Yin, James McInerney, Nathan Kallus

Mach. Learn., December, 2024

Hessian-Free Laplace in Bayesian Deep Learning.

James McInerney, Nathan Kallus

CoRR, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Navigating the Feedback Loop in Recommender Systems: Insights and Strategies from Industry Practice.

Ding Tong, Qifeng Qiao, Ting-Po Lee, James McInerney, Justin Basilico

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

The Implicit Delta Method.

Nathan Kallus, James McInerney

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Residual Overfit Method of Exploration.

James McInerney, Nathan Kallus

CoRR, 2021

Accordion: A Trainable Simulator forLong-Term Interactive Systems.

James McInerney, Ehtsham Elahi, Justin Basilico, Yves Raimond, Tony Jebara

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions.

James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Benjamin A. Carterette

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Offline Evaluation to Make Decisions About PlaylistRecommendation Algorithms.

Alois Gruson, Praveen Chandar, Christophe Charbuillet, James McInerney, Samantha Hansen, Damien Tardieu, Ben Carterette

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018

Explore, exploit, and explain: personalizing explainable recommendations with bandits.

James McInerney, Benjamin Lacker, Samantha Hansen, Karl Higley, Hugues Bouchard, Alois Gruson, Rishabh Mehrotra

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

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

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

An Empirical Bayes Approach to Optimizing Machine Learning Algorithms.

James McInerney

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Modeling User Exposure in Recommendation.

Dawen Liang, Laurent Charlin, James McInerney, David M. Blei

Proceedings of the 25th International Conference on World Wide Web, 2016

Variational Tempering.

Stephan Mandt, James McInerney, Farhan Abrol, Rajesh Ranganath, David M. Blei

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Dynamic Poisson Factorization.

Laurent Charlin, Rajesh Ranganath, James McInerney, David M. Blei

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

The Population Posterior and Bayesian Modeling on Streams.

James McInerney, Rajesh Ranganath, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Intelligent agents for mobile location services.

James McInerney

PhD thesis, 2014

2013

Breaking the habit: Measuring and predicting departures from routine in individual human mobility.

James McInerney, Sebastian Stein, Alex Rogers, Nicholas R. Jennings

Pervasive Mob. Comput., 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

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

Learning Periodic Human Behaviour Models from Sparse Data for Crowdsourcing Aid Delivery in Developing Countries.

James McInerney, Alex Rogers, Nicholas R. Jennings

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Forecasting Multi-Appliance Usage for Smart Home Energy Management.

Ngoc Cuong Truong, James McInerney, Long Tran-Thanh, Enrico Costanza, Sarvapali D. Ramchurn

Proceedings of the IJCAI 2013, 2013

Modelling heterogeneous location habits in human populations for location prediction under data sparsity.

James McInerney, Jiangchuan Zheng, Alex Rogers, Nicholas R. Jennings

Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

2012

Improving location prediction services for new users with probabilistic latent semantic analysis.

James McInerney, Alex Rogers, Nicholas R. Jennings

Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012