Martin Saveski

PhD Student, MIT Media Lab

msaveski [AT] mit.edu

Bio

I am a PhD student in the Laboratory for Social Machines at the MIT Media Lab advised by Deb Roy. I love studying data and people. My research interests lie at the intersection of Causal Inference, Machine Learning, and Social Network Analysis. I am passionate about (i) drawing insights from data, (ii) designing interventions, and (iii) running randomized experiments. I spent the summer of 2016 at LinkedIn working on detecting network effects in randomized experiments.

Prior to coming to MIT, I interned at Yahoo! Labs in Barcelona and the Amazon Machine Learning team in Berlin. I spent one year in Paris and one year in Barcelona to do a M.Sc. in Data mining and Knowledge Management. I got my B.Sc. from Staffordshire University with a First Class honors in Computer Science.

Publications

Most recent publications on Google Scholar.

Detecting Network Effects: Randomizing Over Randomized Experiments.

Martin Saveski*, Jean Pouget-Abadie*, Guillaume Saint-Jacques, Weitao Duan, Souvik Ghosh, Ya Xu, Edo Airoldi

KDD'17: International Conference on Knowledge Discovery and Data Mining. 2017 (Research Track)

One-Pass Ranking Models for Low-Latency Product Recommendations

Antonino Freno, Martin Saveski, Rodolphe Jenatton, Cédric Archambeau

KDD'15: International Conference on Knowledge Discovery and Data Mining. 2015

Item Cold-Start Recommendations: Learning Local Collective Embeddings.

Martin Saveski, Amin Mantrach.

RecSys'14, ACM Conference Series on Recommender Systems. 2014.

Joint semi-supervised Learning of Hidden Conditional Random Fields and Hidden Markov Models

Yann Soullard, Martin Saveski, Thierry Artières

Pattern Recognition Letters. 2013.

Automatic Construction of Wordnets by Using Machine Translation and Language Modeling

Martin Saveski, Igor Trajkovski

In Proceedings of Seventh Language Technologies Conference. 2010.

Detecting Network Effects: Randomizing Over Randomized Experiments.

Martin Saveski*, Jean Pouget-Abadie*, Guillaume Saint-Jacques, Weitao Duan, Souvik Ghosh, Ya Xu, Edo Airoldi

KDD'17: International Conference on Knowledge Discovery and Data Mining. 2017 (Research Track)

Testing for arbitrary interference on experimentation platforms.

Jean Pouget-Abadie*, Martin Saveski*, Guillaume Saint-Jacques, Weitao Duan, Souvik Ghosh, Ya Xu, Edo Airoldi

Biometrika (in submission)

Human Atlas: A Tool for Mapping Social Networks.

Martin Saveski, Eric Chu, Soroush Vosoughi, Deb Roy

WWW'16: International Conference on World Wide Web. 2016. (Demo)

Tracking the Yak: An Empirical Study of Yik Yak.

Martin Saveski, Sophie Chou, Deb Roy.

ICWSM'16: International AAAI Conference on Web and Social Media. 2016. (Short Paper)

Topic Modeling in Twitter: Aggregating Tweets by Conversations

David Alvarez-Melis*, Martin Saveski*

ICWSM'16: International AAAI Conference on Web and Social Media. 2016. (Short Paper)

One-Pass Ranking Models for Low-Latency Product Recommendations

Antonino Freno, Martin Saveski, Rodolphe Jenatton, Cédric Archambeau

KDD'15: International Conference on Knowledge Discovery and Data Mining. 2015

Item Cold-Start Recommendations: Learning Local Collective Embeddings.

Martin Saveski, Amin Mantrach.

RecSys'14, ACM Conference Series on Recommender Systems. 2014.

The Geography of Online News Engagement

Martin Saveski, Daniele Quercia, Amin Mantrach

Socinfo'14: International Conference on Social Informatics. 2014.

Joint semi-supervised Learning of Hidden Conditional Random Fields and Hidden Markov Models

Yann Soullard, Martin Saveski, Thierry Artières

Pattern Recognition Letters. 2013.

Web Services for Stream Mining: A Stream-Based Active Learning Use Case

Martin Saveski, Miha Grčar

ECML PKDD 2011, Workshop on Planning to Learn and Service-Oriented Knowledge Discovery. 2011.

Automatic Construction of Wordnets by Using Machine Translation and Language Modeling

Martin Saveski, Igor Trajkovski

In Proceedings of Seventh Language Technologies Conference. 2010.

Development of an English-Macedonian Machine Readable Dictionary by Using Parallel Corpora

Martin Saveski, Igor Trajkovski

Proceedings of ICT Innovations Conference. 2010.

Projects

Detecting Network Effects
Randomizing Over Randomized Experiments
Human Atlas
Tool for Mapping Social Networks
Responsive Communities
Pilot project in Jun, Spain
Detecting Network Effects
Randomizing Over Randomized Experiments
Human Atlas
Tool for Mapping Social Networks
Responsive Communities
Pilot project in Jun, Spain
Cold-Start Recommendations
Learning Local Collective Embeddings
Semi-supervised Learning
Iterative Hybrid Algorithm
Twitter Sentiment Analysis
Analyzing Financial Tweets
Wordnet Construction
Automatic Wordnet Construction using Language Models
Fingerprint Verification
Image processing class project
Connect Four AI Agent
Iterative deepening and alpha-beta pruning

Resume

Full Resume in PDF.