Kumar, K. S. Sesh

4 publications

TMLR 2022 The Graph Cut Kernel for Ranked Data Michelangelo Conserva, Marc Peter Deisenroth, K S Sesh Kumar

MLJ 2020 High-Dimensional Bayesian Optimization Using Low-Dimensional Feature Spaces Riccardo Moriconi, Marc Peter Deisenroth, K. S. Sesh Kumar

JMLR 2017 Active-Set Methods for Submodular Minimization Problems K. S. Sesh Kumar, Francis Bach

ICML 2013 Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs K. S. Sesh Kumar, Francis Bach