K. S. Sesh Kumar

According to our database, K. S. Sesh Kumar authored at least 17 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

The Graph Cut Kernel for Ranked Data.

Michelangelo Conserva, Marc Peter Deisenroth, K. S. Sesh Kumar

Trans. Mach. Learn. Res., 2022

Data Learning: Integrating Data Assimilation and Machine Learning.

Caterina Buizza, César Quilodrán Casas, Philip Nadler, Julian Mack, Stefano Marrone, Zainab Titus, Clémence Le Cornec, Evelyn Heylen, Tolga Hasan Dur, Luis G. Baca Ruíz, Claire E. Heaney, Julio Amador Díaz López, K. S. Sesh Kumar, Rossella Arcucci

J. Comput. Sci., 2022

2021

Submodular Kernels for Efficient Rankings.

Michelangelo Conserva, Marc Peter Deisenroth, K. S. Sesh Kumar

CoRR, 2021

Sliced Multi-Marginal Optimal Transport.

Samuel Cohen, K. S. Sesh Kumar, Marc Peter Deisenroth

CoRR, 2021

2020

High-dimensional Bayesian optimization with projections using quantile Gaussian processes.

Riccardo Moriconi, K. S. Sesh Kumar, Marc Peter Deisenroth

Optim. Lett., 2020

High-dimensional Bayesian optimization using low-dimensional feature spaces.

Riccardo Moriconi, Marc Peter Deisenroth, K. S. Sesh Kumar

Mach. Learn., 2020

2019

Differentially Private Empirical Risk Minimization with Sparsity-Inducing Norms.

K. S. Sesh Kumar, Marc Peter Deisenroth

CoRR, 2019

High-Dimensional Bayesian Optimization with Manifold Gaussian Processes.

Riccardo Moriconi, K. S. Sesh Kumar, Marc Peter Deisenroth

CoRR, 2019

2017

Active-set Methods for Submodular Minimization Problems.

K. S. Sesh Kumar, Francis R. Bach

J. Mach. Learn. Res., 2017

2016

On the Links between Probabilistic Graphical Models and Submodular Optimisation. (Liens entre modèles graphiques probabilistes et optimisation sous-modulaire).

K. S. Sesh Kumar

PhD thesis, 2016

2015

Convex Optimization for Parallel Energy Minimization.

K. S. Sesh Kumar, Álvaro Barbero Jiménez, Stefanie Jegelka, Suvrit Sra, Francis R. Bach

CoRR, 2015

2013

Maximizing submodular functions using probabilistic graphical models.

K. S. Sesh Kumar, Francis R. Bach

CoRR, 2013

Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs.

K. S. Sesh Kumar, Francis R. Bach

Proceedings of the 30th International Conference on Machine Learning, 2013

2007

On Segmentation of Documents in Complex Scripts.

K. S. Sesh Kumar, S. Kumar, C. V. Jawahar

Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

2006

Learning Segmentation of Documents with Complex Scripts.

K. S. Sesh Kumar, Anoop M. Namboodiri, C. V. Jawahar

Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006

A Semi-automatic Adaptive OCR for Digital Libraries.

Sachin Rawat, K. S. Sesh Kumar, Million Meshesha, Indraneel Deb Sikdar, A. Balasubramanian, C. V. Jawahar

Proceedings of the Document Analysis Systems VII, 7th International Workshop, 2006

2005

Learning to Segment Document Images.

K. S. Sesh Kumar, Anoop M. Namboodiri, C. V. Jawahar

Proceedings of the Pattern Recognition and Machine Intelligence, 2005