James McInerney

35 papers A* 6A 9Misc 2Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Exploration Sizing via Model-Predictive Control.
WWW
Ethan Che, Hakan Ceylan, James McInerney, Nathan Kallus
2025 J jnl
Entropy After <\Think> for reasoning model early exiting.
CoRR
Xi Wang, James McInerney, Lequn Wang, Nathan Kallus
2025 J jnl
Optimization of Epsilon-Greedy Exploration.
CoRR
Ethan Che, Hakan Ceylan, James McInerney, Nathan Kallus
2025 A conf
Variation Due to Regularization Tractably Recovers Bayesian Deep Learning Uncertainty.
AISTATS
James McInerney, Nathan Kallus
2024 J jnl
Adjusting Regression Models for Conditional Uncertainty Calibration.
CoRR
Ruijiang Gao, Mingzhang Yin, James McInerney, Nathan Kallus
2024 J jnl
Adjusting regression models for conditional uncertainty calibration.
Mach. Learn.
Ruijiang Gao, Mingzhang Yin, James McInerney, Nathan Kallus
2024 J jnl
Hessian-Free Laplace in Bayesian Deep Learning.
CoRR
James McInerney, Nathan Kallus
2024 A* conf
Switching the Loss Reduces the Cost in Batch Reinforcement Learning.
ICML
Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári
2024 J jnl
Switching the Loss Reduces the Cost in Batch Reinforcement Learning.
CoRR
Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári
2023 A conf
Navigating the Feedback Loop in Recommender Systems: Insights and Strategies from Industry Practice.
RecSys
Ding Tong, Qifeng Qiao, Ting-Po Lee, James McInerney, Justin Basilico
2022 A* conf
The Implicit Delta Method.
NeurIPS
Nathan Kallus, James McInerney
2022 J jnl
The Implicit Delta Method.
CoRR
Nathan Kallus, James McInerney
2021 A conf
Accordion: A Trainable Simulator forLong-Term Interactive Systems.
RecSys
James McInerney, Ehtsham Elahi, Justin Basilico, Yves Raimond, Tony Jebara
2021 J jnl
Residual Overfit Method of Exploration.
CoRR
James McInerney, Nathan Kallus
2020 A* conf
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions.
KDD
James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Benjamin A. Carterette
2020 J jnl
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions.
CoRR
James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Ben Carterette
2019 A conf
Offline Evaluation to Make Decisions About PlaylistRecommendation Algorithms.
WSDM
Alois Gruson, Praveen Chandar, Christophe Charbuillet, James McInerney, Samantha Hansen, Damien Tardieu, Ben Carterette
2018 A conf
Explore, exploit, and explain: personalizing explainable recommendations with bandits.
RecSys
James McInerney, Benjamin Lacker, Samantha Hansen, Karl Higley, Hugues Bouchard, Alois Gruson, Rishabh Mehrotra
2018 A conf
Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems.
CIKM
Rishabh Mehrotra, James McInerney, Hugues Bouchard, Mounia Lalmas, Fernando Diaz
2017 — conf
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms.
NIPS
James McInerney
2016 A* conf
Modeling User Exposure in Recommendation.
WWW
Dawen Liang, Laurent Charlin, James McInerney, David M. Blei
2016 A conf
Variational Tempering.
AISTATS
Stephan Mandt, James McInerney, Farhan Abrol, Rajesh Ranganath, David M. Blei
2015 A conf
Dynamic Poisson Factorization.
RecSys
Laurent Charlin, Rajesh Ranganath, James McInerney, David M. Blei
2015 J jnl
Dynamic Poisson Factorization.
CoRR
Laurent Charlin, Rajesh Ranganath, James McInerney, David M. Blei
2015 J jnl
Modeling User Exposure in Recommendation.
CoRR
Dawen Liang, Laurent Charlin, James McInerney, David M. Blei
2015 — conf
The Population Posterior and Bayesian Modeling on Streams.
NIPS
James McInerney, Rajesh Ranganath, David M. Blei
2014 — —
Intelligent agents for mobile location services.
James McInerney
2013 J jnl
Breaking the habit: Measuring and predicting departures from routine in individual human mobility.
Pervasive Mob. Comput.
James McInerney, Sebastian Stein, Alex Rogers, Nicholas R. Jennings
2013 A* conf
Forecasting Multi-Appliance Usage for Smart Home Energy Management.
IJCAI
Ngoc Cuong Truong, James McInerney, Long Tran-Thanh, Enrico Costanza, Sarvapali D. Ramchurn
2013 J jnl
Global Manhunt Pushes the Limits of Social Mobilization.
Computer
Iyad Rahwan, Sohan Dsouza, Alex Rutherford, Victor Naroditskiy, James McInerney, Matteo Venanzi, Nicholas R. Jennings, Manuel Cebrián
2013 A conf
Learning Periodic Human Behaviour Models from Sparse Data for Crowdsourcing Aid Delivery in Developing Countries.
UAI
James McInerney, Alex Rogers, Nicholas R. Jennings
2013 J jnl
Learning Periodic Human Behaviour Models from Sparse Data for Crowdsourcing Aid Delivery in Developing Countries.
CoRR
James McInerney, Alex Rogers, Nicholas R. Jennings
2013 Misc conf
Modelling heterogeneous location habits in human populations for location prediction under data sparsity.
UbiComp
James McInerney, Jiangchuan Zheng, Alex Rogers, Nicholas R. Jennings
2013 J jnl
Targeted Social Mobilisation in a Global Manhunt
CoRR
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
2012 Misc conf
Improving location prediction services for new users with probabilistic latent semantic analysis.
UbiComp
James McInerney, Alex Rogers, Nicholas R. Jennings