Marlin, Benjamin

15 publications

NeurIPSW 2024 BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings Karine Karine, Susan Murphy, Benjamin Marlin

ICLR 2024 REBAR: Retrieval-Based Reconstruction for Time-Series Contrastive Learning Maxwell Xu, Alexander Moreno, Hui Wei, Benjamin Marlin, James Matthew Rehg

NeurIPSW 2024 StepCountJITAI: Simulation Environment for RL with Application to Physical Activity Adaptive Intervention Karine Karine, Benjamin Marlin

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

ICLR 2022 Heteroscedastic Temporal Variational Autoencoder for Irregularly Sampled Time Series Satya Narayan Shukla, Benjamin Marlin

ICLR 2021 Multi-Time Attention Networks for Irregularly Sampled Time Series Satya Narayan Shukla, Benjamin Marlin

UAI 2020 Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks Meet Vadera, Brian Jalaian, Benjamin Marlin

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

ICMLW 2020 Multi-Time Attention Networks for Irregularly Sampled Time Series Satya Narayan Shukla, Benjamin Marlin

ICLR 2019 Interpolation-Prediction Networks for Irregularly Sampled Time Series Satya Narayan Shukla, Benjamin Marlin

ICLR 2019 MisGAN: Learning from Incomplete Data with Generative Adversarial Networks Steven Cheng-Xian Li, Bo Jiang, Benjamin Marlin

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

CVPR 2014 The Shape-Time Random Field for Semantic Video Labeling Andrew Kae, Benjamin Marlin, Erik Learned-Miller

AISTATS 2012 A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models Mohammad Khan, Shakir Mohamed, Benjamin Marlin, Kevin Murphy

AISTATS 2010 Inductive Principles for Restricted Boltzmann Machine Learning Benjamin Marlin, Kevin Swersky, Bo Chen, Nando Freitas