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Events for November 08, 2016
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CS Colloquium: Robert D. Nowak (University of Wisconsin-Madison) - A Notation and System for Inferring Event Stream Abstractions
Tue, Nov 08, 2016 @ 11:00 AM - 12:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Robert D. Nowak, University of Wisconsin-Madison
Talk Title: Learning Human Preferences and Perceptions From Data
Series: CS Colloquium
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium.
Modeling human perception has many applications in cognitive, social, and educational science, as well as in advertising and commerce. This talk discusses theory and methods for learning rankings and embeddings representing perceptions from datasets of human judgments, such as ratings or comparisons. I will briefly describe an ongoing large-scale experiment with the New Yorker magazine that deals with ranking cartoon captions using on our nextml.org system. Then I will discuss our recent work on ordinal embedding, also known as non-metric multidimensional scaling, which is the problem of representing items (e.g., images) as points in a low-dimensional Euclidean space given constraints of the form "item i is closer to item j than item k." In other words, the goal is to find a geometric representation of data that is faithful to comparative similarity judgments. This classic problem is often used to gauge and visualize perceptual similarities. A variety of algorithms exist for learning metric embeddings from comparison data, but the accuracy and performance of these methods were poorly understood. I will present a new theoretical framework that quantifies the accuracy of learned embeddings and indicates how many comparisons suffice as a function of the number of items and the dimension of the embedding. Furthermore, the theory points to new algorithms that outperform previously proposed methods. I will also describe a few applications of ordinal embedding.
This joint work with Lalit Jain and Kevin Jamieson.
http://nextml.org/assets/next.pdf
https://arxiv.org/pdf/1606.07081v1.pdf
Host: Yan Liu
Location: Ronald Tutor Hall of Engineering (RTH) - 526
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Amazon Information Session
Tue, Nov 08, 2016 @ 04:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: TBA, Amazon
Talk Title: Amazon Information Session
Series: CS Colloquium
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium.
IMDb is the world's most popular and authoritative source for movie, TV and celebrity content. IMDbPro https://secure.imdb.com/signup/index.html?r=/) is the essential resource for entertainment industry professionals. This membership-based service includes comprehensive information and tools that are designed to help entertainment industry professionals achieve success throughout all stages of their career. Additionally, IMDb owns and operates Withoutabox (https://www.withoutabox.com/), the premier submission service for film festivals and filmmakers, and Box Office Mojo (http://www.boxofficemojo.com/), the leading online box-office reporting service.
Please join us as a panel of industry experts discusses these and other exciting opportunities.
Biography: Unnati Sethi (moderator)
Unnati Sethi is a Software Development Manager at IMDb.com where she leads a team of engineers focused on deprecating legacy software and building highly interactive and creative end-user facing systems for film industry professionals. She has a Masters in Computer Science from the University of Southern California and over fifteen years of experience building software with cross-geographical, multi-cultural teams of varying sizes. She is a vocal advocate for diversity in the technology and entertainment industry and is actively involved in recruitment and diversity outreach initiatives at IMDb and Amazon.
Marty Bower
Marty has over 20 years of experience as a software development engineer and a software development manager, building applications and leading teams in full lifecycle software development. He's worked at IMDb since January of this year, and previously for large financial technology companies like Intuit. He enjoys leading a team in developing an application that is revolutionizing how film festivals process and judge submissions, and help filmmakers get discovered.
Shlomi Yehezkel
Shlomi has been with Amazon for 4+ years now; he joined Amazon as an SDE and has worked with 3 different teams: first with Ad Analytics, where he was responsible for analyzing the performance of advertisements campaigns, then with Amazon Payments, where he worked with the gift card team and, finally, his current position with IMDbPro where he owns the back end systems. Shlomi transitioned to being a Software Development Manager on IMDbPro earlier this year.
Shlomi loves to work on the logic layer which is the layer between the presentation layer to the data layer.
Jerome Core
Jerome is the Customer Service Manager for all IMDb brands. Jerome joined the team in 2014, bringing over ten years of customer service experience. A native Angelino, Jerome has worked with many ecommerce businesses including Internet Brands, Campus Explorer, and online fashion retailer Farfetch.com
Bishnu Kumar
Bishnu is a Sr. Product Manager at IMDb who manages the IMDbPro business. Bishnu joined Amazon Customer Return team in Seattle in 2015 and internally-transferred to the IMDb LA team last month. In 2014 he was a MBA intern in Amazon and prior to that he worked at Samsung in the software development and commercialization of Android handsets.
Christian Sosa-lanz
Christian has been at Amazon for 2 years, working with the Withoutabox team. Prior to that he has been working in the UX field for 15 years designing Disney MagicBands, NordstromRack and physical interfaces. On his off time, he digs into architecture and tinkers with IoT.
Host: CS Department
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
