S. S. Keerthi

Learning State Representations for Query Optimization with Deep Reinforcement Learning

Magdalena Balazinska, Johannes Gehrke, S. Sathiya Keerthi, 2018, DEEM@SIGMOD.

Large scale semi-supervised linear SVMs

Vikas Sindhwani, S. S. Keerthi, 2006, SIGIR.

Newton Methods for Fast Solution of Semi-supervised Linear SVMs

V. Sindhwani, Vikas Sindhwani, S. S. Keerthi, 2006 .

Branch and Bound for Semi-Supervised Support Vector Machines

S. Sathiya Keerthi, Vikas Sindhwani, Olivier Chapelle, 2006, NIPS.

Deterministic annealing for semi-supervised kernel machines

S. Sathiya Keerthi, Vikas Sindhwani, Olivier Chapelle, 2006, ICML.