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N. Nikolaou

Nikos Nikolaou


University of Manchester
School of Computer Science
Kilburn Building, Oxford Road
Manchester, M13 9PL
Room G33

nikolaos.nikolaou[at]manchester.ac.uk


I am a postdoctoral researcher in the Machine Learning and Optimization Group holding an EPSRC Doctoral Prize Fellowship. My project currently focuses on the theory of boosting algorithms and extensions to online learning scenarios. Prior to that, I did my PhD in the School of Computer Science under the supervision of Dr. Gavin Brown.

Areas of interest: Machine Learning, Ensemble Learning, Information Theory, Feature Selection,
Mathematical Optimization, Online Learning, Cost-sensitive Learning.

Latest News


[September 2017] Attended ECML 2017 in Skopje, FYROM. I presented the paper "Gradient boosting models for photovoltaic power estimation under partial shading conditions" at the International Workshop on Data Analytics for Renewable Energy Integration.

[August 2017] Attended the Data Science Summer School 2017 in Palaiseau, France, organized by the École Polytechnique. I presented a poster, titled, 'Better Boosting with Bandits'.

[July 2017] Attended Greek Stochastics iota in Milos, Greece. I contributed the talk 'Better Boosting with Bandits for Online Learning'.

[July 2017] New publication: "Gradient boosting models for photovoltaic power estimation under partial shading conditions". To be presented at the 5th International Workshop on Data Analytics for Renewable Energy Integration, held at ECML 2017.

[July 2017] Our paper "Cost-sensitive boosting algorithms: Do we really need them?", published in Machine Learning Journal in September 2016 has been selected by the ACM as a "Best of Computing, Notable Article of 2016". The articles are chosen through a nomination process involving the editors-in-chief of ACM journals and senior academic / industry professionals, to identify papers that are "the most interesting and influential that were published in 2016". It has been downloaded over 2700 times so far.

Nikos Nikolaou

 

[July 2017] I will be delivering the talk `Boosting for Probability Estimation & Cost-Sensitive Learning' in the School of Electrical and Computer Engineering of the National Technical University of Athens on Monday 10th of July at 13:00. Room: Multimedia Amphitheatre, Central Library, NTUA.

[May 2017] I will be attending the Data Science Summer School organized by the École Polytechnique in Paris, France. The summer school takes place during August 28 - September 1 and I will also be presenting a poster there.

[May 2017] I was invited to give a talk to the Institute for Adaptive and Neural Computation of the Department of Informatics of the University of Edinburgh by Dr. Iain Murray. The talk will be on the 21st of June; for more details see the official announcement.

[May 2017] Just returned from the May 2017 Data Study Group of the Alan Turing Institute. Great place, great event, great people!

[April 2017] I will be giving the talk `Boosting for Probability Estimation & Cost-Sensitive Learning' in the Department of Informatics of the Athens University of Economics and Business on Thursday 27 April. The talk starts at 13:15, in Evelpidon 47, room 710.

[April 2017] I will be giving the talk `Boosting for Probability Estimation & Cost-Sensitive Learning' in the Department of Informatics and Telecommunications of the University of Athens on Wednesday 26 April at 12:00 in room A56.

[April 2017] I will be contributing a talk to Greek Stochastics iota in lovely Milos, Greece on 14-17, July.

[April 2017] My thesis, Cost-Sensitive Boosting: A Unified Approach was awarded the Outstanding PGR Thesis Award of the School of Computer Science at the University of Manchester 2017.

[April 2017] I've been invited to present my latest research at the Department of Informatics and Telecommunications of the University of Athens by Prof. Sergios Theodoridis and Department of Informatics of the Athens University of Economics and Business by Dr. Michalis K. Titsias. More details to follow soon!

[April 2017] An i-python tutorial for the paper 'Cost-sensitive boosting algorithms: Do we really need them?' can be found in GitHub. The users can reproduce and significantly extend the experiments of the original paper. A more easy-to-use but less flexible version of the code can also be found here. Any feedback is welcome!

[December 2016] My EPSRC Doctoral Prize Fellowship has officially started! The project is titled 'Unifying Aspects of Machine Learning: From Boosting to Deep Learning'. Its long term goal is to establish the underlying connections between boosting and deep learning and to leverage them to improve their theoretical understanding, scalability, predictive ability and applicability to diverse scenarios (e.g. online learning, cost-sensitive learning, imbalanced class learning).

[December 2016] I have finished my PhD! My thesis, 'Cost-Sensitive Boosting: A Unified Approach', can be downloaded here.

[November 2016] My paper 'Cost-sensitive boosting algorithms: Do we really need them?' got the Best Paper Prize of the School of Computer Science at the University of Manchester 2016 (sponsored by IBM).

Nikos Nikolaou

 

[October 2016] A video of my ECML/PKDD 2016 plenary presentation is now available on youtube.
Lots of interesting questions from the audience. The third question was by none other than Zoubin Ghahramani!

[September 2016] I have been awarded an EPSRC Doctoral Prize Fellowship! I will be working as a postdoctoral fellow at the University of Manchester for one year, starting December 1st 2016, co-sponsored by Dr. Gavin Brown and Prof. Mikel Luján. More details coming soon!

Nikos Nikolaou

 

[September 2016] Presented the paper 'Cost-sensitive boosting algorithms: Do we really need them?' at ECML/PKDD 2016 in Riva del Garda, Italy. The paper was selected for a plenary presentation as one of 12/129 eligible papers (top 9.3%).

[September 2016] I will be temporarily working as a Research Assistant for the EPSRC funded LAMBDA project (PI: Dr. Gavin Brown) until the end of November.

[September 2016] Submitted my PhD thesis titled 'Cost-sensitive Boosting: A Unified Approach'.

[June 2016] New publication: 'Cost-sensitive boosting algorithms: Do we really need them?', accepted in Machine Learning. To be presented in ECML/PKDD 2016 in Riva del Garda, Italy.

[November 2015] Gave the talk 'Cost-sensitive boosting algorithms: Do we really need them?' in the Research Symposium of the School of Computer Science of the University of Manchester.

[October 2015] Gave the lecture 'Cost-sensitive learning with AdaBoost' for the postgraduate course 'COMP61011: Foundations of Machine Learning' of the University of Manchester.

[July 2015] Attended Greek Stochastics eta in Chania, Crete, Greece. I presented a poster, titled, 'Predicting reliable probabilities with online Boosting'.

[July 2015] Presented the paper 'Calibrating AdaBoost for asymmetric learning' at MCS 2015 taking place at the Reisensburg Castle in Günzburg, Germany.

[June 2015] Attended the INIT/AERFAI 2015 summer school on machine learning at Benicŕssim, Valencia, Spain. Our poster, titled, 'Asymmetric boosting algorithms: Do we really need them?' received the best poster award. I also had the immense honour of Prof. Janez Demšar, one of the invited speakers of the summer school, referring to my work on various parts of his slides during his talk as a good example of how to compare methods empirically, but also on terms of simplicity, ease of use and theoretical guarantees!

Nikos Nikolaou

 

[May 2015] Gave the talk 'Optimal induction and its approximations' to the MLO group of the University of Manchester as part of the MLO Seminars.

[March 2015] New publication: 'Calibrating AdaBoost for asymmetric learning', accepted in MCS 2015.

[October 2014] Gave the lecture 'Introduction to AdaBoost' for the postgraduate course 'COMP61011: Foundations of Machine Learning' of the University of Manchester.

[September 2014] Attended ECML/PKDD 2014 in Nancy, France.

[August 2014] Presented 'Information theoretic feature selection in multi-label data through composite likelihood' in SSPR 2014 at Joensuu, Finland.

[April 2014] New publication: 'Information theoretic feature selection in multi-label data through composite likelihood', accepted in SSPR 2014.

[June 2013] Attended the INIT/AERFAI 2013 summer school on machine learning at Benicŕssim, Valencia, Spain.
Nikos Nikolaou