2021-02-04 · 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 Algorithms and Geometry based at Columbia University.
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 Algorithms and Geometry based at Columbia University.
That year she moved to the United States to continue her studies. 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. Search Search. Home Sepideh Mahabadi.
Facebook gives people the Sepideh Mahabadi's 24 research works with 180 citations and 395 reads, including: Streaming Complexity of SVMs 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 Algorithms and Geometry based at Columbia University. Affiliation: CSAIL MIT 2021-02-04 · Sepideh Mahabadi is a research assistant professor at the Toyota Technological Institute at Chicago (TTIC). She received her Ph.D.
Dissertation: Sub-linear Algorithms for Massive Data Problems.
In Spring Quarter 2021, Sepideh Mahabadi will be teaching a new course, Special Topics: Algorithms for Massive Data. This course will cover the theoretical aspects of computation over massive data. While classical algorithms can be too slow, or require too much space on big data, in this course students will focus on designing algorithms that are specifically tailored for large datasets.
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Read Sepideh Mahabadi's latest research, browse their coauthor's research, and play around with their algorithms
For a year, she was a postdoctoral research scientist at Simons Collaboration on Algorithms and Geometry based at Columbia University. Affiliation: CSAIL MIT 2021-02-04 · 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 Algorithms and Geometry based at Columbia University.
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 Algorithms and Geometry based at Columbia University. Speaker: Sepideh Mahabadi (TTIC) Abstract: We introduce and study the notion of an outer bi-Lipschitz extension of a map between Euclidean spaces.
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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. Read Sepideh Mahabadi's latest research, browse their coauthor's research, and play around with their algorithms Sepideh Mahabadi is Research Assistant Professor at Toyota Technological Institute at Chicago.
One of the most widely used algorithms for approximately optimizing the SVM objective is Stochastic Gradient Descent (SGD), which requires
Reminder Subject: TALK: THESIS DEFENSE: Sepideh Mahabadi: Sub-linear Algorithms for Massive Data Problems Abstract: The recent availability of massive data sets has had a significant impact on the design of algorithms. This has led to the emergence of new computational models that capture various aspects of massive data computation. Sepideh Mahabadi · Piotr Indyk · Shayan Oveis Gharan · Alireza Rezaei 2019 Poster: Scalable Fair Clustering » Arturs Backurs · Piotr Indyk · Krzysztof Onak · Baruch Schieber · Ali Vakilian · Tal Wagner 2019 Oral: Scalable Fair Clustering »
Searching and summarization are two of the most fundamental tasks in massive data analysis.
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Bio: 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 …
Home Sepideh Mahabadi. Sepideh Mahabadi. Skip slideshow. Most frequent co-Author Sepideh Mahabadi is on Facebook. Join Facebook to connect with Sepideh Mahabadi and others you may know. Facebook gives people the power to share and makes the world more open and connected. View the profiles of people named Sepideh Mahabadi.
Affiliation: CSAIL MIT
Skip slideshow. Most frequent co-Author 2021-02-04 Sepideh Mahabadi is a research assistant professor at the Toyota Technological Institute at Chicago (TTIC).
Facebook gives people the Sepideh Mahabadi's 24 research works with 180 citations and 395 reads, including: Streaming Complexity of SVMs 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 Algorithms and Geometry based at Columbia University. Affiliation: CSAIL MIT 2021-02-04 · Sepideh Mahabadi is a research assistant professor at the Toyota Technological Institute at Chicago (TTIC).