Marlin, Benjamin M.

23 publications

MLHC 2025 Enhancing Adaptive Behavioral Interventions with LLM Inference from Participant Described States Karine Karine, Benjamin M. Marlin

UAI 2023 Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-in-Time Adaptive Interventions Karine Karine, Predrag Klasnja, Susan A. Murphy, Benjamin M. Marlin

UAI 2023 Heteroskedastic Geospatial Tracking with Distributed Camera Networks Colin Samplawski, Shiwei Fang, Ziqi Wang, Deepak Ganesan, Mani Srivastava, Benjamin M. Marlin

ECCVW 2022 Uncertainty Quantification Using Query-Based Object Detectors Meet P. Vadera, Colin Samplawski, Benjamin M. Marlin

UAI 2021 Post-Hoc Loss-Calibration for Bayesian Neural Networks Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin

CVPRW 2020 Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels Colin Samplawski, Erik G. Learned-Miller, Heesung Kwon, Benjamin M. Marlin

UAI 2018 Learning Time Series Segmentation Models from Temporally Imprecise Labels Roy Adams, Benjamin M. Marlin

AISTATS 2017 Learning Time Series Detection Models from Temporally Imprecise Labels Roy J. Adams, Benjamin M. Marlin

NeurIPS 2016 A Scalable End-to-End Gaussian Process Adapter for Irregularly Sampled Time Series Classification Steven Cheng-Xian Li, Benjamin M. Marlin

UAI 2015 Classification of Sparse and Irregularly Sampled Time Series with Mixtures of Expected Gaussian Kernels and Random Features Steven Cheng-Xian Li, Benjamin M. Marlin

UAI 2011 Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood Benjamin M. Marlin, Nando de Freitas

ICML 2011 On Autoencoders and Score Matching for Energy Based Models Kevin Swersky, Marc'Aurelio Ranzato, David Buchman, Benjamin M. Marlin, Nando de Freitas

ICML 2011 Piecewise Bounds for Estimating Bernoulli-Logistic Latent Gaussian Models Benjamin M. Marlin, Mohammad Emtiyaz Khan, Kevin P. Murphy

IJCAI 2011 Recommender Systems, Missing Data and Statistical Model Estimation Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney

NeurIPS 2010 Variational Bounds for Mixed-Data Factor Analysis Mohammad Emtiyaz Khan, Guillaume Bouchard, Kevin P. Murphy, Benjamin M. Marlin

NeurIPS 2009 Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models Baback Moghaddam, Mohammad Emtiyaz Khan, Kevin P. Murphy, Benjamin M. Marlin

UAI 2009 Group Sparse Priors for Covariance Estimation Benjamin M. Marlin, Mark Schmidt, Kevin P. Murphy

ICML 2009 Sparse Gaussian Graphical Models with Unknown Block Structure Benjamin M. Marlin, Kevin P. Murphy

UAI 2007 Collaborative Filtering and the Missing at Random Assumption Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney

AISTATS 2005 Unsupervised Learning with Non-Ignorable Missing Data Benjamin M. Marlin, Sam T. Roweis, Richard S. Zemel

ICML 2004 The Multiple Multiplicative Factor Model for Collaborative Filtering Benjamin M. Marlin, Richard S. Zemel

UAI 2003 Active Collaborative Filtering Craig Boutilier, Richard S. Zemel, Benjamin M. Marlin

NeurIPS 2003 Modeling User Rating Profiles for Collaborative Filtering Benjamin M. Marlin