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Events for October 29, 2019
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CS Colloquium: Aditya Grover (Stanford University) - Mitigating Bias in Generative Modeling
Tue, Oct 29, 2019 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Aditya Grover, Stanford University
Talk Title: Mitigating Bias in Generative Modeling
Series: Computer Science Colloquium
Abstract: In the last few years, there has been remarkable progress in deep generative modeling. However, the learned models are noticeably inaccurate w.r.t. to the underlying data distribution, as evident from downstream metrics that compare statistics of interest across the true and generated data samples. This bias in downstream evaluation can be attributed to imperfections in learning ("model bias") or be propagated due to the bias in the training dataset itself ("dataset bias"). In this talk, I will present an importance weighting approach for mitigating both these kinds of biases of generative models. Our approach assumes only 'black-box' sample access to a generative model and is broadly applicable to both likelihood-based and likelihood-free generative models. Empirically, we find that our technique consistently improves standard goodness-of-fit metrics for evaluating the sample quality of state-of-the-art deep generative models, suggesting reduced bias. We demonstrate its utility on representative applications in a) data augmentation and b) model-based policy evaluation using off-policy data. Finally, I will present some recent work extending these ideas to fair data generation in the presence of biased training datasets.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Aditya Grover is a 5th-year Ph.D. candidate in Computer Science at Stanford University advised by Stefano Ermon. His research focuses on probabilistic machine learning, including topics in generative modeling, approximate inference, and deep learning as well as applications in sustainability. His research has been cited widely in academia, deployed into production at major technology companies, and recognized with a best paper award (StarAI), a Lieberman Fellowship, a Data Science Institute Scholarship, and a Microsoft Research Ph.D. Fellowship. He is also a Teaching Fellow at Stanford since 2018, where he co-designed and teaches a new class on Deep Generative Models. Previously, Aditya obtained his bachelors in Computer Science and Engineering from IIT Delhi in 2015, where he received a best undergraduate thesis award.
Host: If you would like to meet the speaker, please email the host Bistra Dilkina at dilkina@usc.edu
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Computer Science Department
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CS Tech Talk: WiSE Presents: Walmart Tech Talk with Senior VP of Customer Technology, Fiona Tan
Tue, Oct 29, 2019 @ 04:00 PM - 05:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Fiona Tan, Walmart
Talk Title: WiSE Presents: Walmart Tech Talk with Senior VP of Customer Technology, Fiona Tan
Series: Computer Science Colloquium
Abstract: Come hear more about the exciting opportunities available in tech at Walmart.
Fiona will also talk about her tech journey, as well as why she loves working for Walmart.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Fiona Tan joined Walmart in 2014 and is currently the Senior Vice President of Customer Technology. She is responsible for innovation and engineering execution on all customer-facing technology across Walmart's physical and digital footprint. Her team leverages data and machine learning to drive marketing and advertising campaigns, oversees all personalization capabilities, and delivers the desktop and mobile customer experience for Walmart's eCommerce as well as the technology across point-of-sale systems, pharmacy, specialty departments, and associate productivity apps in Walmart stores. Their goal is to deliver a seamless shopping experience for our customers -“ while empowering our millions of associates with technology.
Previously, Fiona was Walmart's Vice President of Engineering, responsible for product roadmap and engineering capabilities for Walmart's international eCommerce businesses as well as the Sam's Club business in the U.S. In addition, her team drove technology strategy and operational excellence across Walmart Labs.
Prior to Walmart, Fiona served in a number of leadership roles at Ariba and TIBCO Software. At Ariba, she led a global engineering organization responsible for the strategy, lifecycle, and delivery of the Ariba Commerce Network. At TIBCO Software, she was responsible for a major product line as well as the management of their offshore development centers.
Fiona has a master's degree in Computer Science from Stanford and a bachelor's degree in Computer Science and Engineering from Massachusetts Institute of Technology (MIT).
Host: WiSE
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Computer Science Department
