Modeling User Rating Profiles For Collaborative Filtering. - Benjamin M. Marlin (NIPS, 2003)

Active Collaborative Filtering. - Craig Boutilier; Richard S. Zemel; Benjamin M. Marlin (UAI, 2003)

The multiple multiplicative factor model for collaborative filtering. - Benjamin M. Marlin; Richard S. Zemel (ICML, 2004)

Constructing convex 3-polytopes from two triangulations of a polygon. - Benjamin M. Marlin; Godfried T. Toussaint (Comput. Geom., 2004)

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

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

Missing Data Problems in Machine Learning. - Benjamin M. Marlin (2008)

Sparse Gaussian graphical models with unknown block structure. - Benjamin M. Marlin; Kevin P. Murphy (ICML, 2009)

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

Collaborative prediction and ranking with non-random missing data. - Benjamin M. Marlin; Richard S. Zemel (RecSys, 2009)

Group Sparse Priors for Covariance Estimation. - Benjamin M. Marlin; Mark Schmidt 001; Kevin P. Murphy (UAI, 2009)

A tutorial on stochastic approximation algorithms for training Restricted Boltzmann Machines and Deep Belief Nets. - Kevin Swersky; Bo Chen 019; Benjamin M. Marlin; Nando de Freitas (ITA, 2010)

Variational bounds for mixed-data factor analysis. - Mohammad Emtiyaz Khan; Benjamin M. Marlin; Guillaume Bouchard; Kevin P. Murphy (NIPS, 2010)

Inductive Principles for Restricted Boltzmann Machine Learning. - Benjamin M. Marlin; Kevin Swersky; Bo Chen 019; Nando de Freitas (AISTATS, 2010)

Multiscale Conditional Random Fields for Semi-supervised Labeling and Classification. - David Duvenaud; Benjamin M. Marlin; Kevin P. Murphy (CRV, 2011)

Piecewise Bounds for Estimating Bernoulli-Logistic Latent Gaussian Models. - Benjamin M. Marlin; Mohammad Emtiyaz Khan; Kevin P. Murphy (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)

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

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

Unsupervised pattern discovery in electronic health care data using probabilistic clustering models. - Benjamin M. Marlin; David C. Kale; Robinder G. Khemani; Randall C. Wetzel (IHI, 2012)

A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models. - Mohammad Emtiyaz Khan; Shakir Mohamed; Benjamin M. Marlin; Kevin P. Murphy (AISTATS, 2012)

Towards Collaborative Filtering Recommender Systems for Tailored Health Communications. - Benjamin M. Marlin; Roy J. Adams; Rajani S. Sadasivam; Thomas K. Houston (AMIA, 2013)

Detecting Signatures of Cocaine Using On-Body Sensors. - Annamalai Natarajan; Abhinav Parate; Edward Gaiser; Gustavo Angarita; Robert Malison; Benjamin M. Marlin; Deepak Ganesan (AMIA, 2013)

Detecting cocaine use with wearable electrocardiogram sensors. - Annamalai Natarajan; Abhinav Parate; Edward Gaiser; Gustavo Angarita; Robert Malison; Benjamin M. Marlin; Deepak Ganesan (UbiComp, 2013)

Practical prediction and prefetch for faster access to applications on mobile phones. - Abhinav Parate; Matthias Böhmer 001; David Chu; Deepak Ganesan; Benjamin M. Marlin (UbiComp, 2013)

Leveraging graphical models to improve accuracy and reduce privacy risks of mobile sensing. - Abhinav Parate; Meng-Chieh Chiu; Deepak Ganesan; Benjamin M. Marlin (MobiSys, 2013)

Relation Extraction with Matrix Factorization and Universal Schemas. - Sebastian Riedel 001; Limin Yao; Andrew McCallum; Benjamin M. Marlin (HLT-NAACL, 2013)

Conditional random fields for morphological analysis of wireless ECG signals. - Annamalai Natarajan; Edward Gaiser; Gustavo Angarita; Robert Malison; Deepak Ganesan; Benjamin M. Marlin (BCB, 2014)

The Shape-Time Random Field for Semantic Video Labeling. - Andrew Kae; Benjamin M. Marlin; Erik G. Learned-Miller (CVPR, 2014)

iShadow: the computational eyeglass system. - Addison Mayberry; Pan Hu 003; Benjamin M. Marlin; Christopher D. Salthouse; Deepak Ganesan (ETRA, 2014)

iShadow: design of a wearable, real-time mobile gaze tracker. - Addison Mayberry; Pan Hu 003; Benjamin M. Marlin; Christopher D. Salthouse; Deepak Ganesan (MobiSys, 2014)

PERSPeCT: collaborative filtering for tailored health communications. - Roy J. Adams; Rajani S. Sadasivam; Kavitha Balakrishnan; Rebecca L. Kinney; Thomas K. Houston; Benjamin M. Marlin (RecSys, 2014)

A simulation model with verification and validation for time-phased education planning in Afghanistan. - Benjamin M. Marlin; Han-Suk Sohn (Simul., 2014)

puffMarker: a multi-sensor approach for pinpointing the timing of first lapse in smoking cessation. - Nazir Saleheen; Amin Ahsan Ali; Syed Monowar Hossain; Hillol Sarker; Soujanya Chatterjee; Benjamin M. Marlin; Emre Ertin; Mustafa al'Absi; Santosh Kumar 001 (UbiComp, 2015)

Isomap out-of-sample extension for noisy time series data. - Hamid Dadkhahi; Marco F. Duarte; Benjamin M. Marlin (MLSP, 2015)

CIDER: Enabling Robustness-Power Tradeoffs on a Computational Eyeglass. - Addison Mayberry; Yamin Tun; Pan Hu 003; Duncan Smith-Freedman; Deepak Ganesan; Benjamin M. Marlin; Christopher D. Salthouse (MobiCom, 2015)

iProgram: Inferring Smart Schedules for Dumb Thermostats. - Srinivasan Iyengar; Sandeep Kalra; Anushree Ghosh; David E. Irwin 001; Prashant J. Shenoy; Benjamin M. Marlin (BuildSys, 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, 2015)

Analysis and synthesis of 3D shape families via deep-learned generative models of surfaces. - Haibin Huang; Evangelos Kalogerakis; Benjamin M. Marlin (Comput. Graph. Forum, 2015)

Center of excellence for mobile sensor data-to-knowledge (MD2K). - Santosh Kumar 001; Gregory D. Abowd; William T. Abraham; Mustafa al'Absi; J. Gayle Beck; Duen Horng Chau; Tyson Condie; David E. Conroy; Emre Ertin; Deborah Estrin; Deepak Ganesan; Cho Lam; et al. (J. Am. Medical Informatics Assoc., 2015)

CIDER: enhancing the performance of computational eyeglasses. - Addison Mayberry; Yamin Tun; Pan Hu 003; Duncan Smith-Freedman; Benjamin M. Marlin; Christopher D. Salthouse; Deepak Ganesan (ETRA, 2016)

Domain adaptation methods for improving lab-to-field generalization of cocaine detection using wearable ECG. - Annamalai Natarajan; Gustavo Angarita; Edward Gaiser; Robert Malison; Deepak Ganesan; Benjamin M. Marlin (UbiComp, 2016)

An Improved Data Representation for Smoking Detection with Wearable Respiration Sensors. - Laura Hiatt; Roy J. Adams; Benjamin M. Marlin (ICHI, 2016)

Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams. - Roy J. Adams; Nazir Saleheen; Edison Thomaz; Abhinav Parate; Santosh Kumar 001; Benjamin M. Marlin (ICML, 2016)

A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification. - Steven Cheng-Xian Li; Benjamin M. Marlin (NIPS, 2016)

Assessing the limits of program-specific garbage collection performance. - Nicholas Jacek; Meng-Chieh Chiu; Benjamin M. Marlin; Eliot Moss (PLDI, 2016)

Real-Time Program-Specific Phase Change Detection for Java Programs. - Meng-Chieh Chiu; Benjamin M. Marlin; Eliot Moss (PPPJ, 2016)

Parsing wireless electrocardiogram signals with context free grammar conditional random fields. - Thai Nguyen; Roy J. Adams; Annamalai Natarajan; Benjamin M. Marlin (Wireless Health, 2016)

Learning Shallow Detection Cascades for Wearable Sensor-Based Mobile Health Applications. - Hamid Dadkhahi; Nazir Saleheen; Santosh Kumar 001; Benjamin M. Marlin (CoRR, 2016)

Using DEA in conjunction with designs of experiments: an approach to assess simulated futures in the Afghan educational system. - Benjamin M. Marlin; Han-Suk Sohn (J. Simulation, 2016)

THE "I" IN THE EYE. - Addison Mayberry; Yamin Tun; Pan Hu 003; Duncan Smith-Freedman; Deepak Ganesan; Benjamin M. Marlin; Christopher D. Salthouse (GetMobile Mob. Comput. Commun., 2016)

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

Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices. - Hamid Dadkhahi; Benjamin M. Marlin (KDD, 2017)

iLid: Low-power Sensing of Fatigue and Drowsiness Measures on a Computational Eyeglass. - Soha Rostaminia; Addison Mayberry; Deepak Ganesan; Benjamin M. Marlin; Jeremy Gummeson (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K). - Santosh Kumar 001; Gregory D. Abowd; William T. Abraham; Mustafa al'Absi; Duen Horng Chau; Emre Ertin; Deborah Estrin; Deepak Ganesan; Timothy Hnat; Syed Monowar Hossain; Zachary G. Ives; Jacqueline Kerr; et al. (IEEE Pervasive Comput., 2017)

Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series. - Hamid Dadkhahi; Marco F. Duarte; Benjamin M. Marlin (IEEE Trans. Image Process., 2017)

Will Distributed Computing Revolutionize Peace? The Emergence of Battlefield IoT. - Tarek F. Abdelzaher; Nora Ayanian; Tamer Basar; Suhas N. Diggavi; Jana Diesner; Deepak Ganesan; Ramesh Govindan; Susmit Jha; Tancrède Lepoint; Benjamin M. Marlin; Klara Nahrstedt; David M. Nicol; et al. (ICDCS, 2018)

Executing Analytics and Fusion Workloads on Transient Computing Resources in Tactical Environments. - Ahmed Ali-Eldin; Deepak Ganesan; Heesung Kwon; Benjamin M. Marlin; Prashant J. Shenoy; Mani B. Srivastava; Don Towsley (MILCOM, 2018)

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

Toward an Internet of Battlefield Things: A Resilience Perspective. - Tarek F. Abdelzaher; Nora Ayanian; Tamer Basar; Suhas N. Diggavi; Jana Diesner; Deepak Ganesan; Ramesh Govindan; Susmit Jha; Tancrède Lepoint; Benjamin M. Marlin; Klara Nahrstedt; David M. Nicol; et al. (Computer, 2018)

Modeling Irregularly Sampled Clinical Time Series. - Satya Narayan Shukla; Benjamin M. Marlin (CoRR, 2018)

Hierarchical Active Learning for Model Personalization in the Presence of Label Scarcity. - Annamalai Natarajan; Deepak Ganesan; Benjamin M. Marlin (BSN, 2019)

Poster Abstract: Investigating Fusion-Based Deep Learning Architectures for Smoking Puff Detection. - Benjamin M. Marlin; Meet P. Vadera (CHASE, 2019)

iLid: eyewear solution for low-power fatigue and drowsiness monitoring. - Soha Rostaminia; Addison Mayberry; Deepak Ganesan; Benjamin M. Marlin; Jeremy Gummeson (ETRA, 2019)

MisGAN: Learning from Incomplete Data with Generative Adversarial Networks. - Steven Cheng-Xian Li; Bo Jiang; Benjamin M. Marlin (ICLR (Poster), 2019)

Interpolation-Prediction Networks for Irregularly Sampled Time Series. - Satya Narayan Shukla; Benjamin M. Marlin (ICLR (Poster), 2019)

Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification. - Colin Samplawski; Heesung Kwon; Erik G. Learned-Miller; Benjamin M. Marlin (CoRR, 2019)

Assessing the Robustness of Bayesian Dark Knowledge to Posterior Uncertainty. - Meet P. Vadera; Benjamin M. Marlin (CoRR, 2019)

Inferring Smart Schedules for Dumb Thermostats. - Srinivasan Iyengar; Sandeep Kalra; Anushree Ghosh; David E. Irwin 001; Prashant J. Shenoy; Benjamin M. Marlin (ACM Trans. Cyber Phys. Syst., 2019)

Optimal Choice of When to Garbage Collect. - Nicholas Jacek; Meng-Chieh Chiu; Benjamin M. Marlin; J. Eliot B. Moss (ACM Trans. Program. Lang. Syst., 2019)

On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems. - Benjamin M. Marlin; Tarek F. Abdelzaher; Gabriela F. Ciocarlie; Adam D. Cobb; Mark Dennison; Brian Jalaian; Lance M. Kaplan; Tiffany Raber; Adrienne Raglin; Piyush K. Sharma; Mani B. Srivastava; Theron Trout; et al. (CogMI, 2020)

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

Learning from Irregularly-Sampled Time Series: A Missing Data Perspective. - Steven Cheng-Xian Li; Benjamin M. Marlin (ICML, 2020)

CLIO: enabling automatic compilation of deep learning pipelines across IoT and cloud. - Jin Huang; Colin Samplawski; Deepak Ganesan; Benjamin M. Marlin; Heesung Kwon (MobiCom, 2020)

Towards Objection Detection Under IoT Resource Constraints: Combining Partitioning, Slicing and Compression. - Colin Samplawski; Jin Huang; Deepak Ganesan; Benjamin M. Marlin (AIChallengeIoT@SenSys, 2020)

Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. - Meet P. Vadera; Brian Jalaian; Benjamin M. Marlin (UAI, 2020)

Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification. - Meet P. Vadera; Satya Narayan Shukla; Brian Jalaian; Benjamin M. Marlin (CoRR, 2020)

Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction. - Satya Narayan Shukla; Benjamin M. Marlin (CoRR, 2020)

URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks. - Meet P. Vadera; Adam D. Cobb; Brian Jalaian; Benjamin M. Marlin (CoRR, 2020)

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance. - Satya Narayan Shukla; Benjamin M. Marlin (CoRR, 2020)

Digitizing clinical trials. - Omer T. Inan; P. Tenaerts; Sheila A. Prindiville; H. R. Reynolds; D. S. Dizon; K. Cooper-Arnold; Mintu P. Turakhia; Mark J. Pletcher; Kenzie L. Preston; Harlan M. Krumholz; Benjamin M. Marlin; Kenneth D. Mandl; et al. (npj Digit. Medicine, 2020)

Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems. - Meet P. Vadera; Benjamin M. Marlin (CogMI, 2021)

Multi-Time Attention Networks for Irregularly Sampled Time Series. - Satya Narayan Shukla; Benjamin M. Marlin (ICLR, 2021)

Optimizing Intelligent Edge-clouds with Partitioning, Compression and Speculative Inference. - Shiwei Fang; Jin Huang; Colin Samplawski; Deepak Ganesan; Benjamin M. Marlin; Tarek F. Abdelzaher; Maggie B. Wigness (MILCOM, 2021)

Towards an Accurate Latency Model for Convolutional Neural Network Layers on GPUs. - Jinyang Li 004; Runyu Ma; Vikram Sharma Mailthody; Colin Samplawski; Benjamin M. Marlin; Songqing Chen; Shuochao Yao; Tarek F. Abdelzaher (MILCOM, 2021)

Towards Transformer-Based Real-Time Object Detection at the Edge: A Benchmarking Study. - Colin Samplawski; Benjamin M. Marlin (MILCOM, 2021)

Post-hoc loss-calibration for Bayesian neural networks. - Meet P. Vadera; Soumya Ghosh; Kenney Ng; Benjamin M. Marlin (UAI, 2021)

BayesLDM: A Domain-specific Modeling Language for Probabilistic Modeling of Longitudinal Data. - Karine Tung; Steven De La Torre; Mohamed El Mistiri; Rebecca Braga De Braganca; Eric B. Hekler; Misha Pavel; Daniel E. Rivera; Pedja Klasnja; Donna Spruijt-Metz; Benjamin M. Marlin (CHASE, 2022)

Uncertainty Quantification Using Query-Based Object Detectors. - Meet P. Vadera; Colin Samplawski; Benjamin M. Marlin (ECCV Workshops (8), 2022)

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series. - Satya Narayan Shukla; Benjamin M. Marlin (ICLR, 2022)

URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods. - Meet P. Vadera; Jinyang Li 004; Adam D. Cobb; Brian Jalaian; Tarek F. Abdelzaher; Benjamin M. Marlin (MLSys, 2022)

Design and Deployment of a Multi-Modal Multi-Node Sensor Data Collection Platform. - Shiwei Fang; Ankur Sarker; Ziqi Wang 001; Mani B. Srivastava; Benjamin M. Marlin; Deepak Ganesan (SenSys, 2022)

Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning. - Meet P. Vadera; Adam D. Cobb; Brian Jalaian; Benjamin M. Marlin (CoRR, 2022)

BayesLDM: A Domain-Specific Language for Probabilistic Modeling of Longitudinal Data. - Karine Tung; Steven De La Torre; Mohamed El Mistiri; Rebecca Braga De Braganca; Eric B. Hekler; Misha Pavel; Daniel E. Rivera; Pedja Klasnja; Donna Spruijt-Metz; Benjamin M. Marlin (CoRR, 2022)

IoBT-MAX: a Multimodal Analytics eXperimentation Testbed for IoBT Research. - Benjamin M. Marlin; Niranjan Suri; Shiwei Fang; Mani B. Srivastava; Colin Samplawski; Ziqi Wang 001; Maggie B. Wigness (MILCOM, 2023)

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

Heteroskedastic Geospatial Tracking with Distributed Camera Networks. - Colin Samplawski; Shiwei Fang; Ziqi Wang 001; Deepak Ganesan; Mani B. Srivastava; Benjamin M. Marlin (UAI, 2023)

Retrieval-Based Reconstruction For Time-series Contrastive Learning. - Maxwell A. Xu; Alexander Moreno; Hui Wei; Benjamin M. Marlin; James M. Rehg (CoRR, 2023)

Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation. - Hui Wei; Maxwell A. Xu; Colin Samplawski; James Matthew Rehg; Santosh Kumar 001; Benjamin M. Marlin (CHIL, 2024)

REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning. - Maxwell A. Xu; Alexander Moreno; Hui Wei; Benjamin M. Marlin; James Matthew Rehg (ICLR, 2024)

FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors. - Jason Wu; Ziqi Wang 001; Xiaomin Ouyang; Ho Lyun Jeong; Colin Samplawski; Lance M. Kaplan; Benjamin M. Marlin; Mani Srivastava 001 (IROS, 2024)

GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors. - Ho Lyun Jeong; Ziqi Wang 001; Colin Samplawski; Jason Wu; Shiwei Fang; Lance M. Kaplan; Deepak Ganesan; Benjamin M. Marlin; Mani Srivastava 001 (CoRR, 2024)

StepCountJITAI: simulation environment for RL with application to physical activity adaptive intervention. - Karine Karine; Benjamin M. Marlin (CoRR, 2024)

BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings. - Karine Karine; Susan A. Murphy; Benjamin M. Marlin (CoRR, 2024)

Modeling engagement with a digital behavior change intervention (HeartSteps II): An exploratory system identification approach. - Steven De La Torre; Mohamed El Mistiri; Eric B. Hekler; Predrag Klasnja; Benjamin M. Marlin; Misha Pavel; Donna Spruijt-Metz; Daniel E. Rivera (J. Biomed. Informatics, 2024)

GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors. - Ho Lyun Jeong; Ziqi Wang 001; Colin Samplawski; Jason Wu; Shiwei Fang; Lance M. Kaplan; Deepak Ganesan; Benjamin M. Marlin; Mani Srivastava 001 (IEEE DataPort, 2024)

Combining LLM decision and RL action selection to improve RL policy for adaptive interventions. - Karine Karine; Benjamin M. Marlin (CoRR, 2025)

Enhancing Adaptive Behavioral Interventions with LLM Inference from Participant-Described States. - Karine Karine; Benjamin M. Marlin (CoRR, 2025)

Uncertainty-Informed Scheduling of Decision Points for Intelligent Mobile Health Interventions. - Asim H. Gazi; Bhanu T. Gullapalli; Daiqi Gao; Benjamin M. Marlin; Vivek Shetty; Susan A. Murphy (CoRR, 2025)