Sepideh Mahabadi is a research assistant professor at the Toyota Technological Institute at Chicago (TTIC). She received her PhD from MIT, where she was advised by Piotr Indyk. She received her PhD from MIT, where she was advised by Piotr Indyk.

THESIS DEFENSE: Sepideh Mahabadi: Sub-linear Algorithms for Massive Data Problems. Speaker: Sepideh Mahabadi , CSAIL MIT Date: Tuesday, May 16, 2017 Time: 1:00 PM to 2:00 PM Refreshments: 2:15 PM Public: Yes Location: 32-D463 (Star) Event Type: Room Description:

More precisely, for a point xin a point set Pof size n, … Sepideh Mahabadi Research Assistant Professor Toyota Technological Institute at Chicago (TTIC) WHEN: September 18, 2020 @ 10:00 am - 11:00 am This event is free and open to the public Add to Google Calendar. WEB: Event Website. SHARE: (Click “Event Website” above to access the zoom link.) 2020-07-07 Talk: Sepideh Mahabadi: Composable Core-sets for Diversity and Coverage Maximization, and Its Application in Diverse Near Neighbor Problem. Speaker: Sepideh Mahabadi , MIT Date: Wednesday, May 07, 2014 Time: 4:00 PM to 5:00 PM Public: Yes Location: 32-G575 Event Type: Sepideh Mahabadi (Toyota Technological Institute at Chicago) Ruta Mehta (University of Illinois, Urbana-Champaign) Raghu Meka (University of California, Los Angeles) Dor Minzer (Massachusetts Institute of Technology) Jesper Nederlof (Utrecht University) Jelani Nelson (University of California, Berkeley) Sasho Nikolov (University of Toronto) Sepideh Mahabadi Submitted to the Department of Electrical Engineering and Computer Science on May 22, 2013, in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering Abstract This thesis investigates two variants of the approximate nearest neighbor problem. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We introduce a new variant of the nearest neighbor search problem, which allows for some coordinates of the dataset to be arbitrarily corrupted or unknown. Formally, given a dataset of n points P = {x1,,xn} in high-dimensions, and a parameter k, the goal is to preprocess the dataset, such that given a query point q CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We consider the classic SetCover problem in the data stream model.

For a year, she was a postdoctoral research scientist at Simons Collaboration on … Sepideh Mahabadi: Composable Core-sets for Diversity and Coverage Maximization, and Its Application in Diverse Near Neighbor Problem Wednesday, May 7, 2014 - 4:00pm to 5:00pm Location: View the profiles of people named Sepideh Mahabadi. Join Facebook to connect with Sepideh Mahabadi and others you may know. Facebook gives people the 2013-11-22 Sepideh Mahabadi. Search for Sepideh Mahabadi's work. Search Search. Home Sepideh Mahabadi.

Sariel Har-Peled, Sepideh Mahabadi. Abstract.

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2021-02-04 Title: Non-Adaptive Adaptive Sampling in Turnstile Streams Abstract: Adaptive sampling is a useful algorithmic tool for data summarization problems in the cl 2019-05-24 Sepideh Mahabadi is a research assistant professor at the Toyota Technological Institute at Chicago (TTIC). She received her Ph.D. from MIT, where she was advised by Piotr Indyk.

2021-02-04

Applied Filters. Sepideh Mahabadi; Affiliations. Massachusetts Institute of Technology (5) Carnegie Mellon University (2) Microsoft Research (2) University of Washington, Seattle (2) CNRS Centre National de la Recherche Scientifique (1) Speaker: Sepideh Mahabadi (TTIC) Abstract: We introduce and study the notion of an outer bi-Lipschitz extension of a map between Euclidean spaces.

Olympiads Countries Tasks Hall of Fame Search. Login Add Edit View Sepideh Mahabadi’s profile on LinkedIn, the world’s largest professional community. Sepideh has 1 job listed on their profile. See the complete profile on LinkedIn and discover Sepideh’s connections and jobs at similar companies. 2021-02-04 · Sepideh Mahabadi is a research assistant professor at the Toyota Technological Institute at Chicago (TTIC). She received her Ph.D.
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Speaker: Sepideh Mahabadi , CSAIL MIT Date: Tuesday, May 16, 2017 Time: 1:00 PM to 2:00 PM Refreshments: 2:15 PM Public: Yes Location: 32-D463 (Star) Event Type: Room Description: Searching and summarization are two of the most fundamental tasks in massive data analysis. In this talk, I will focus on these two tasks from the perspective of diversity and fairness.

Dissertation: Sub-linear Algorithms for Massive Data Problems. Apr 23, 2020 Non-Adaptive Adaptive Sampling on Turnstile Streams. Authors:Sepideh Mahabadi, Ilya Razenshteyn, David P. Woodruff, Samson Zhou.
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Sepideh Amirpour. Industrial PhD Candidate at CEVT (China Euro Vehicle Technology AB), Chalmers University of Technology. Göteborgsområdet. Azin Akbari

2013 Sepideh Mahabadi is a research assistant professor at the Toyota Technological Institute at Chicago (TTIC). She received her PhD from MIT, where she was advised by Piotr Indyk. For a year, she was a postdoctoral research scientist at Simons Collaboration on Algorithms and Geometry based at Columbia University.

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Sepideh Mahabadi. Toyota Technological Institute at Chicago. Assistant Professor. Sepideh is Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC). She received her PhD in Computer Science, at the Theory of Computation Group at CSAIL, MIT, where she had Prof. Piotr Indyk as her advisor.

Toyota Technological Institute at Chicago (TTIC) Verified email at ttic.edu - Homepage. P Indyk, S Mahabadi, R Rubinfeld, A Vakilian, A Yodpinyanee.

Sepideh Mahabadi is a research assistant professor at the Toyota Technological Institute at Chicago (TTIC). She received her Ph.D. from MIT, where she was advised by Piotr Indyk. For a year, she was a postdoctoral research scientist at Simons Collaboration on …

Sepideh Mahabadi. Skip slideshow. Most frequent co-Author Sepideh Mahabadi's 26 research works with 187 citations and 461 reads, including: Sampling a Near Neighbor in High Dimensions -- Who is the Fairest of Them All? Sepideh Mahabadi is Research Assistant Professor at Toyota Technological Institute at Chicago.

In 2013 she received her M.Sc. and in 2017 her PhD from the MIT. When she was 18 years old she made history at the International Olympiad… Read Sepideh Mahabadi's latest research, browse their coauthor's research, and play around with their algorithms Sepideh Mahabadi. Search for Sepideh Mahabadi's work.