Suvash Sedhain personal page

Suvash Sedhain

I am a 4^th year PhD Student (submitted thesis) at Australian National University (ANU) and a Graduate Researcher at Machine Learning Group at the National ICT Australia (NICTA). I am supervised by Scott Sanner, Lexing Xie and Aditya Krishna Menon.

email : suvash (dot) sedhain (at) anu (dot) edu (dot) au

[Resume] [Quora] [Linkedin]

Recommender Systems, Collaborative Filtering, Machine Learning, Data Science, Information Retrieval and Deep Learning.

LoCo: Social Cold-Start Recommendation via Low-Rank Regression. (under review)
Practical linear models for large-scale one-class collaborative filtering.
S. Sedhain, H. Bui, J. Kawale, N. Vlassis, B. Kveton, A. Menon, T. Bui, S. Sanner, In Proceedings of 25th International Joint Conference on Artificial Intelligence (IJCAI-16), NY, USA. [pdf]
On the Effectiveness of Linear Models for One-Class Collaborative Filtering.
S. Sedhain, A. Menon, S. Sanner, D. Braziunas, In Proceedings of 30th AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, USA. [pdf] [code] [slides(pdf)]
AutoRec: Autoencoders Meet Collaborative Filtering.
S. Sedhain, A. Menon, S. Sanner, and L. Xie, In Proceedings of the 24th International World Wide Web Conference (WWW-15), to appear. Florence, Italy. [pdf] [code] [poster(pdf)]
Social Collaborative Filtering for Cold-start Recommendations.
S. Sedhain, S. Sanner, D. Braziunas, L. Xie, and J. Christensen, In Proceedings of the ACM Conference on Recommender Systems (RecSys-14). Silicon Valley, USA. [pdf] [poster(pdf)]
Social Affinity Filtering: Recommendation through Fine-grained Analysis of User Interactions and Activities.
S. Sedhain, S. Sanner, L. Xie, R. Kidd, K.-N. Tran, and P. Christen In Proceedings of the ACM Conference on Online Social Networks (COSN-13). Boston, USA. [pdf]

Work Experiences:

Sept'16 - Current	Data Scientist, Tabcorp Holdings, Sydney, Australia
Jan'16 - July'16	Data Scientist Intern (part time), Adobe Systems, Sydney, Australia.
Aug'15 - Dec'15	Data Scientist Intern, Adobe Systems, San Jose, California, USA.
Dec'13 - March'14	Research Intern, Kobo Inc, Toronto, Canada.
May'10 - Aug'12	Software Engineer, Logpoint Inc, Copenhagen, Denmark.

Code:

pyrec	Framework for Implicit feedback/One-Class collaborative filtering.
AutoRec	Autoencoder based collaborative filtering model.
TFMF	Matrix factorisation using TensorFlow.
cs231n	Solution to the Karpathy's cs231n assignments.