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.

2020/04/29: Sepideh Mahabadi (TTIC). posted Apr 29, 2020, 1:34 PM by Gautam Kamath [ updated May 13, 2020, 1:58 PM by Alice Bob ]

Authors:Sepideh Mahabadi, Ilya Razenshteyn, David P. Woodruff, Samson Zhou. Individual Fairness for k-Clustering. Sepideh Mahabadi · Ali Vakilian. Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual Sampling a Near Neighbor in High Dimensions--Who is the Fairest of Them All? ( pdf); Piotr Indyk, Sepideh Mahabadi, Shayan Oveis Gharan, Alireza Rezaei, Research Assistant Professor at TTIC.

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. 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. Talk Session 1 (Chair: Sepideh Mahabadi) 09:30-10:00: Fernando Granha Jeronimo: Decoding Binary Codes : 10:00-10:30: Jafar Jafarov: Asymmetric Correlation Clustering: 10:30-11:15: Poster Session 1 : Tri Huynh: Multigrid Neural Memory: Ruotian Luo: A Better Variant for Self Critical Sequence Training: Kumar Kshitij Patel Sepideh Mahabadi · Ali Vakilian 2019 Poster: A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes » Alireza Rezaei · Shayan Oveis Gharan 2019 Oral: A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes » International Olympiad in Informatics – Statistics. Olympiads Countries Tasks Hall of Fame Search.

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: 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: Sepideh Mahabadi is a research assistant professor at the Toyota Technological Institute at Chicago (TTIC).

Sepideh Mahabadi Ali Vakiliany Abstract We give a local search based algorithm for k-median and k-means (and more generally for any k-clustering with ‘ p norm cost function) from the perspective of individual fairness. More precisely, for a point xin a point set Pof size n, let r(x) be the minimum radius such that the

Ebba Brahes Väg 5 C, 192 69 Sollentuna. Malak Haji Karami Mahabadi 66 år. Sörgården 153, 1002 18638 VALLENTUNA Sepideh Karami 44 år. Slalomvägen 17, 1202 12949 HÄGERSTEN.

2013-11-22

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

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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. View Sepideh Mahabadi’s professional profile on Relationship Science, the database of decision makers. 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's 24 research works with 180 citations and 395 reads, including: Streaming Complexity of SVMs Affiliation: CSAIL MIT Sepideh Mahabadi is a postdoctoral research scientist with an appointment at the Simons Collaboration on Algorithms and Geometry based at Columbia University. More articles on Iranian successes in science competitions Sources: Press TV, MIT, Simons Foundation, stats.ioiinformatics.org (IOI 2007) 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.

I am on the academic job market this year. I received my PhD in Computer Science, at the Theory of Computation (TOC) group at CSAIL, MIT. Sepideh Mahabadi received her PhD in Computer Science from MIT in 2017, where she was part of the Theory of Computation group in CSAIL. Before joining TTIC, for a year she was a postdoctoral research scientist at Simons Collaboration on Algorithms and Geometry hosted at Columbia University.
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Sepideh Mahabadi; Affiliations. Massachusetts Institute of Technology (5) Carnegie Mellon University (2) Microsoft Research (2) University of Washington, Seattle (2)

For a year, she was a postdoctoral research scientist at Simons Collaboration on Algorithms and Geometry based at Columbia University. Sepideh Mahabadi Toyota Technological Institute at Chicago. 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.

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CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We consider the classic SetCover problem in the data stream model. For n elements and m sets we give a O(1/δ)-pass algorithm with a strongly sub-linear Õ(mn δ) space and logarithmic approximation factor1.

Toyota Technological Institute at Chicago (TTIC) Verified email at ttic.edu - Homepage. S Mahabadi, K Makarychev, Y Makarychev, I Razenshteyn. Sepideh Mahabadi.

Research Assistant Professor at TTIC. PhD in (Theoretical) Computer Science from MIT. Chicago. mit.edu/~mahabadi/.

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MathSciNet. Ph.D.