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Sumeet S Katariya

from San Jose, CA
Age ~39
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Connected to:
Manoj Katariya, 44Pavan Katariya, 46Joseph J Katarski, 46Kristopher M Katarski, 45Hari P Kataruka, 65Kathy J Katasanow, 60Irit Katash, 44Alla A Katashev, 47Angelo D Katasse, 37Thomas J Katavic, 37

Sumeet Katariya Phones & Addresses

  • San Jose, CA
  • Madison, WI

Work

Company: Toyota technological institute at chicago Aug 2018 Position: Research assistant

Education

School / High School: University of Wisconsin - Madison Dec 2016 Specialities: Philosophy

Skills

Research • Matlab • Machine Learning • C • Python • C++ • Algorithms • Simulations • Mathematical Modeling • Signal Processing • Latex • Optimization • Artificial Intelligence • General Awesomeness

Industries

Research

Resumes

Resumes

Sumeet Katariya Photo 1

Research Assistant

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Location:
Chicago, IL
Industry:
Research
Work:
Toyota Technological Institute at Chicago
Research Assistant
Lands' End Sep 2017 - May 2018
Data Science Intern
Adobe Sep 2015 - Dec 2015
Research Intern
Facebook May 2013 - Aug 2013
Software Engineer
Scilab Enterprises May 2012 - Aug 2012
Software Engineer
Education:
University of Wisconsin - Madison Dec 2016
University of Wisconsin - Madison's 2013
University of Wisconsin - Madison Apr 2000
College of Engineering Apr 2000
University of Wisconsin - Madison
Master of Science, Masters, Computer Engineering College of Engineering Pune
Bachelors, Bachelor of Technology, Electronics
Skills:
Research
Matlab
Machine Learning
C
Python
C++
Algorithms
Simulations
Mathematical Modeling
Signal Processing
Latex
Optimization
Artificial Intelligence
General Awesomeness

Publications

Us Patents

Media Transmission Over A Data Network

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US Patent:
20120327943, Dec 27, 2012
Filed:
Mar 2, 2011
Appl. No.:
13/582436
Inventors:
Udayan Kanade - Pune, IN
Dimple Kuriakose - Pune, IN
Sandeep Soni - Atlanta GA, US
Gaurav Kulkarni - Pune, IN
Sumeet Katariya - Madison WI, US
International Classification:
H04L 12/56
US Classification:
370400
Abstract:
A new approach towards transmitting media across a network is disclosed. In an embodiment, the sender prioritizes the data to be sent from a pool of candidate data, and sends it under some bandwidth constraint. The pool of candidate data reflects the present state of the media, and certain data may be discarded without being sent if it becomes irrelevant to the present state of the media. The receiver sends feedback regarding what data is received by it, which may be used for choosing candidate data, or for prioritizing it.

Reformulation Of Tail Queries For Product Searches

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US Patent:
20210366016, Nov 25, 2021
Filed:
May 20, 2020
Appl. No.:
16/879332
Inventors:
- Palo Alto CA, US
Sumeet Katariya - Sunnyvale CA, US
Nikhil S. Rao - San Jose CA, US
Karthik Subbian - PaloAlto CA, US
Assignee:
A9.com, Inc. - Palo Alto CA
International Classification:
G06Q 30/06
G06N 3/08
G06F 7/58
Abstract:
Technologies are provided for reformulation of a tail query to a head query with the same purchase intent by mapping the tail query to the head query. In some of the technologies, a reasonable embedding can be learned on historical head queries. The embedding can then be refined by leveraging rewards generated from a persistently noisy oracle that compensates for the lack of historical behavioral signal for tail queries. Further, a contextual sampling technique that uses text-based rewards or oracle-based rewards, or both, can be implemented in order to avoid biases introduced by persistent noise in the oracle. Numerical experiments on large scale e-commerce datasets demonstrate that the provided technologies can outperform several conventional approaches to query reformulation.

Systems And Methods Associated With Sequential Multiple Hypothesis Testing

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US Patent:
20170330114, Nov 16, 2017
Filed:
May 16, 2016
Appl. No.:
15/156008
Inventors:
- San Jose CA, US
Alan John Malek - Los Gatos CA, US
Yinlam Chow - San Mateo CA, US
Sumeet Katariya - Madison WI, US
International Classification:
G06Q 10/06
G06Q 30/02
Abstract:
Embodiments of the present invention are directed at providing a sequential multiple hypothesis testing system. In one embodiment, feedback is collected for hypothesis tests of a multiple hypothesis tests. Based on the collected feedback, a sequential p-value is calculated for each of the hypothesis tests utilizing a sequential statistic procedure that is designed to compare an alternative case with a base case for a respective hypothesis test. A sequential rejection procedure can then be applied to determine whether any of the hypothesis tests have concluded based on the respective p-value. A result of the determination can then be output to apprise a user of a state of the multiple hypothesis test. This process can then be repeated until a maximum sample size is reached, termination criterion is met, or all tests are concluded. Other embodiments may be described and/or claimed.
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Sumeet S Katariya from San Jose, CA, age ~39 Get Report