Holakou Rahmanian

Holakou Rahmanian
Ph.D. Candidate, Computer Science Department
University of California Santa Cruz

Contact information:

Office: Engineering 2 -- Room 489
E-mail: [first name] [at] ucsc [dot] edu
[linkedIn profile]
[CV]

About:

I am joining Microsoft as an Applied Scientist in December 2018. I obtained my Ph.D. in Computer Science at UCSC. I was honored to work under the supervision of Prof. S.V.N. Vishwanathan and Prof. Manfred Warmuth . My research is mostly concentrated on machine learning, online learning, combinatorial optimization, and learning of structural concepts and combinatorial objects.


EDUCATION

Ph.D. Computer Science, GPA 4.0 -- UCSC -- 2018

M.Sc. Computer Science, GPA 4.0 -- UCSC -- 2015

B.Sc. Mathematics and Computer Science, GPA 3.96 -- BIHE -- 2013

B.Sc. Computer Engineering, GPA 3.95 -- BIHE -- 2011


PUBLICATION

"Online Non-Additive Path Learning under Full and Partial Information,"
  with Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, and Manfred Warmuth,
Submitted to ALT 2019 ,
[paper]

"Online Learning of Combinatorial Objects via Extended Formulation,"
  with David P. Helmbold and S.V.N. Vishwanathan,
Algorithmic Learning Theory (ALT 2018) ,
  Lanzarote, Spain, April 2018.
[paper] [talk]

"Online Dynamic Programming,"
  with Manfred K. Warmuth,
Advances in Neural Information Processing Systems 30 (NIPS 2017) ,
  Long Beach, CA, USA, December 2017.
[paper] [poster] [talk]

"Online Learning of Permutations Using Extended Formulation,"
  with David P. Helmbold and S.V.N. Vishwanathan,
Discrete Structures in Machine Learning Workshop at NIPS 2017,
  Long Beach, CA, USA, December 2017.
[paper] [poster] [talk]

"Deep Embedding Forest: Forest-based Serving with Deep Embedding Features,"
  with Jie Zhu, Ying Shan, JC Mao, Dong Yu, and Yi Zhang,
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2017),
  Halifax, NS, Canada, August 2017.
[paper], [presentation], [video]

THESES

Ph.D. Thesis: "Online Learning of Combinatorial Objects" [link]

M.Sc. Thesis: "Breathing Rate Prediction Using Finger-tip Sensor" [link]

B.Sc. Thesis: "Extending TLD to Two Cameras and Depth Estimation"

PATENTS

"Deep Embedding Forest: Forest-based Serving with Deep Embedding Features", Microsoft Corporation , Redmond, WA. with Ying Shan, JC Mao, Dong Yu, and Yi Zhang [link]


EXPERIENCE

Visiting Researcher, Kyushu University , Fukuoka, Japan, Sep-Oct 2018

Software Engineering Intern, Google Research , New York, NY, Summer 2017

Visiting Academic, New York University, New York, NY, October 2016

Data Scientist Intern, Microsoft , Redmond, WA, Summer 2016

Applied Research Intern, eBay Inc. , New York, NY, Summer 2015

CTO Intern, Brocade Communication Systems , San Jose, CA, Summer 2014


TEACHING ASSISTANT

Spring 2017: Computational Models (CMPS 130) -- Upper-division (Instructed by Delbert Bailey)
Spring 2015: Introduction to Analysis of Algorithms (CMPS 102) -- Upper-division (Instructed by Prof. Manfred Warmuth)
Winter 2015: Analysis of Algorithms (CMPS 201) -- Graduate (Instructed by Prof. Dimitris Achlioptas)


Last modified Monday, November 5th, 2018 12:10 (PT)