K S Sesh Kumar

K S Sesh Kumar

Research Fellow

Data Science Institute
Imperial College London
s dot karri at imperial dot ac dot uk

I am a research fellow at the Data Science Institute, Imperial College London. Prior to this, I was a research fellow funded by the Leverhulme Centre for the Future of Intelligence (CFI) at Imperial College London working with Prof. Marc Deisenroth and Dr. Adrian Weller. I was a post-doctoral researcher in the group of Vladimir Kolmogorov at IST, Austria until October, 2017. I finished my PhD under the supervision of Francis Bach at INRIA, SIERRA in September, 2016. I received MVA Masters from ENS-Cachan in 2013 and Bachelors degree (Computer Science and Engineering) from IIIT, Hyderabad in 2003.

My research revolves around exploring the links between different topics in the following areas :
CV (Last updated January, 2020)

Students (present)

Riccardo Moriconi (PhD Student, co-supervised with Marc Deisenroth)

Students (past)

Zhe Dong (Masters Student, 2018)

Mike Scott (Masters Student, 2018)

Abhilash Dubbaka, Huan Gan, Konstantinos Ntolkeras, Ryan Ong, Vatsal Patel (Group Masters, 2018)


Teaching

Spring 2020 - Machine Learning, MSc Health Data Analytics, Imperial College London

Autumn 2018 - Mathematics for Machine Learning, Department of Computing, Imperial College London


Outreach/Other Duties

Organizer of Imperial @ NeurIPS 2019 workshop

Organizer of Machine Learning Tutorials at Imperial College London

Core Member of Machine Learning Initiative at Imperial College London

Reviewer for top tier machine learning conferences such as ICLR, AISTATS, ICML and NeurIPS


Publications(google scholar, dblp)

K. S. Sesh Kumar, F. Bach and T. Pock, Fast Decomposable Submodular Function Minimization using Constrained Total Variation. In Advances of Neural Information Processing Systems(NeurIPS), 2019 [pdf]

Riccardo Moriconi, Marc P. Deisenroth and K. S. Sesh Kumar, High-Dimensional Bayesian Optimization with Manifold Gaussian Processes, In Bayesian Deep Learning workshop at NeurIPS (BDL-NeurIPS), 2019 [pdf]

Riccardo Moriconi, K. S. Sesh Kumar and Marc P. Deisenroth, High-dimensional Bayesian optimization with projections using quantile Gaussian processes, In Optimization Letters, 2019 [pdf]

K. S. Sesh Kumar and Marc P. Deisenroth, Differentially Private Empirical Risk Minimization with Sparsity-Inducing Norms. In Privacy Preserving Maching Learning (PPML), 2018. [pdf]

K. S. Sesh Kumar and F. Bach, Active-set Methods for Submodular Minimization Problems. In Journal for Machine Learning Research (JMLR), 2017. [pdf]

K. S. Sesh Kumar, A. Barbero, S. Jegelka, S. Sra and F. Bach, Convex Optimization for Parallel Energy Minimization. Technical report, HAL 01123492, 2015. [pdf]

K. S. Sesh Kumar and F. Bach, Maximizing Submodular Functions using Probabilistic Graphical Models. In workshop on Discrete Optimization for Machine Larning (DISCML-NIPS), 2013. [pdf]

K. S. Sesh Kumar and F. Bach, Convex Relaxations for Learning Bounded Treewidth Decomposable Graphs.In Proceedings of the International Conference on Machine Learning (ICML), 2013. [pdf/supplemenatry, pdf-long-version]

D. A. Gomez Jauregui, P. Horain, M. K. Rajagopal and K. S. Sesh Kumar, Real-Time Particle Filtering with Heuristics for 3D Motion Capture by Monocular Vision, In Proceedings of IEEE International Workshop on Multimedia Signal Processing (MMSP), 2010. [pdf, bibtex]

K. S. Sesh Kumar, Sukesh Kumar and C. V. Jawahar, On Segmentation of Documents in Complex Scripts, In Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2007. [pdf, bibtex]

K. S. Sesh Kumar, Anoop M. Namboodiri and C.V.Jawahar, Learning Segmentation of Documents with Complex Scripts , In Proceedings of Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2006. [pdf, bibtex]

Sachin Rawat, K. S. Sesh Kumar, Million Meshesha, Indraneel Deb Sikdar, A. Balasubramanian and C. V. Jawahar, A Semi-Automatic Adaptive OCR for Digital Libraries, In Proceedings of Seventh IAPR Workshop on Document Analysis Systems (DAS), 2006. [pdf, bibtex]

K. S. Sesh Kumar, Anoop M. Namboodiri and C. V. Jawahar, Learning to Segment Document Images , In Proceedings of International Conference on Pattern Recognition and Machine Intelligence (PReMI), 2005 . [pdf, bibtex]


Thesis

On the Links between Probabilistic Graphical Models and Submodular Optimisation , PhD, l’École normale supérieure, SIERRA-INRIA, 2016.[pdf]