ConferenceProceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · August 3, 2025
Multi-treatment multi-outcome treatment effect estimation plays a vital role in today's industry-level applications. For example, in social media ads, practitioners simultaneously deploy multiple interventions to users' experience and track multi-faceted m ...
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ConferenceProceedings of machine learning research · July 2023
A number of methods have been proposed for causal effect estimation, yet few have demonstrated efficacy in handling data with complex structures, such as images. To fill this gap, we propose Causal Multi-task Deep Ensemble (CMDE), a novel framework that le ...
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ConferenceProceedings 2022 IEEE Cvf Winter Conference on Applications of Computer Vision Wacv 2022 · January 1, 2022
In many real-world tasks, a canonical 'big data' problem is created by combining data from several individual groups or domains. Because test data will likely come from a new group of data, we want to utilize the grouped structure of our training data to e ...
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ConferenceEuropace · November 1, 2020
AIMS: Prediction models for outcomes in atrial fibrillation (AF) are used to guide treatment. While regression models have been the analytic standard for prediction modelling, machine learning (ML) has been promoted as a potentially superior methodology. W ...
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ConferenceProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition · June 1, 2019
In this work, we propose a new task called Story Visualization. Given a multi-sentence paragraph, the story is visualized by generating a sequence of images, one for each sentence. In contrast to video generation, story visualization focuses less on the co ...
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ConferenceAdvances in Neural Information Processing Systems · January 1, 2017
We consider the analysis of Electroencephalography (EEG) and Local Field Potential (LFP) datasets, which are "big" in terms of the size of recorded data but rarely have sufficient labels required to train complex models (e.g., conventional deep learning me ...
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ConferenceAdvances in Neural Information Processing Systems · January 1, 2017
In neuropsychiatric disorders such as schizophrenia or depression, there is often a disruption in the way that regions of the brain synchronize with one another. To facilitate understanding of network-level synchronization between brain regions, we introdu ...
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Conference33rd International Conference on Machine Learning Icml 2016 · January 1, 2016
Partition functions of probability distributions are important quantities for model evaluation and comparisons. We present a new method to compute partition functions of complex and multi-modal distributions. Such distributions are often sampled using simu ...
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https://orcid.org/0000-0003-1005-6385