39 Results

Tutorial
Mon 1:00 Machine Learning for Healthcare: Challenges, Methods, Frontiers
Mihaela van der Schaar
AffinityWorkshop
Mon 9:45 Breakout Session 3.1: Healthcare and Machine Learning: Real World Applications and Challenges
Invited Talk
Tue 5:00 Doing Some Good with Machine Learning
Lester Mackey
Poster
Tue 7:00 Full Law Identification in Graphical Models of Missing Data: Completeness Results
Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser
Poster
Tue 7:00 NGBoost: Natural Gradient Boosting for Probabilistic Prediction
Tony Duan, Anand Avati, Daisy Ding, Khanh K. Thai, Sanjay Basu, Andrew Ng, Alejandro Schuler
Poster
Tue 7:00 Learning from Irregularly-Sampled Time Series: A Missing Data Perspective
Steve Li, Benjamin M Marlin
Poster
Tue 9:00 BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
Xiaochen Wang, Arash Pakbin, Bobak Mortazavi, Hongyu Zhao, Donald Lee
Poster
Tue 11:00 Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation
Amr Mohamed Alexandari, Anshul Kundaje, Avanti Shrikumar
Poster
Tue 12:00 SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
Tomer Golany, Kira Radinsky, Daniel Freedman
Poster
Tue 13:00 Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions
Ahmed Alaa, Mihaela van der Schaar
Poster
Tue 14:00 Continuously Indexed Domain Adaptation
Hao Wang, Hao He, Dina Katabi
Poster
Wed 5:00 On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies
Hengrui Cai, Wenbin Lu, Rui Song
Poster
Wed 5:00 Adaptive Droplet Routing in Digital Microfluidic Biochips Using Deep Reinforcement Learning
Tung-Che Liang, Zhanwei Zhong, Yaas Bigdeli, Tsung-Yi Ho, Krishnendu Chakrabarty, Richard Fair
Poster
Wed 9:00 Set Functions for Time Series
Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten Borgwardt
Poster
Wed 10:00 Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health
Liangyu Zhu, Wenbin Lu, Rui Song
Poster
Wed 10:00 Temporal Phenotyping using Deep Predictive Clustering of Disease Progression
Changhee Lee, Mihaela van der Schaar
Poster
Wed 12:00 Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo Celi, Emma Brunskill, Finale Doshi-Velez
Poster
Wed 13:00 Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
Rasheed El-Bouri, David Eyre, Peter Watkinson, Tingting Zhu, David Clifton
Poster
Wed 13:00 Adding seemingly uninformative labels helps in low data regimes
Christos Matsoukas, Albert Bou Hernandez, Yue Liu, Karin Dembrower, Gisele Miranda, Emir Konuk, Johan Fredin Haslum, Athanasios Zouzos, Peter Lindholm, Fredrik Strand, Kevin Smith
Poster
Wed 14:00 DeepCoDA: personalized interpretability for compositional health data
Thomas Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh
Poster
Wed 15:00 Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders
Ioana Bica, Ahmed Alaa, Mihaela van der Schaar
Poster
Thu 6:00 Estimation of Bounds on Potential Outcomes For Decision Making
Maggie Makar, Fredrik Johansson, John Guttag, David Sontag
Poster
Thu 7:00 Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
Shengpu Tang, Aditya Modi, Michael Sjoding, Jenna Wiens
Poster
Thu 8:00 Cost-Effective Interactive Attention Learning with Neural Attention Processes
Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang
Poster
Thu 9:00 Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Shengchao Liu, Simon Blackburn, Karam Thomas, Connor Coley, Jian Tang, Sarath Chandar, Yoshua Bengio
Poster
Thu 13:00 Influenza Forecasting Framework based on Gaussian Processes
Christoph Zimmer, Reza Yaesoubi
Poster
Thu 17:00 Transformer Hawkes Process
Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha
Poster
Thu 17:00 Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng
Workshop
Fri 1:30 Law & Machine Learning
CĂ©line Castets-Renard, Sylvain Cussat-Blanc, Laurent Risser
Workshop
Fri 3:30 Healthcare Systems, Population Health, and the Role of Health-tech
Creighton Heaukulani, Konstantina Palla, Katherine Heller, Niranjani Prasad, Marzyeh Ghassemi
Workshop
Fri 4:30 Invited Talk: Learning despite the unknown - missing data imputation in healthcare
Mihaela van der Schaar
Workshop
Fri 6:30 Theoretical Foundations of Reinforcement Learning
Emma Brunskill, Thodoris Lykouris, Max Simchowitz, Wen Sun, Mengdi Wang
Workshop
Fri 9:00 Poster Session (click to see links)
Workshop
Fri 11:30 Health Systems & Delivery II
Workshop
Sat 5:45 Machine Learning for Global Health
Danielle Belgrave, Stephanie Hyland, Charles Onu, Nicholas Furnham, Ernest Mwebaze, Neil Lawrence
Workshop
Sat 6:00 Economics of privacy and data labor
Nikolaos Vasiloglou, Rachel Cummings, Glen Weyl, Paris Koutris, Meg Young, Ruoxi Jia, David Dao, Bo Waggoner
Workshop
Sat 8:20 Posters
Workshop
Sat 10:50 "Automated ML and its transformative impact on medicine and healthcare" by Mihaela van der Schaar
Mihaela van der Schaar
Workshop
(#64 / Sess. 1) Differentiable Graph Module (DGM) for Graph Convolutional Networks
Anees Kazi