3 citations · 3 across the 4 of their papers we have counts for
3 papers · 1 filter
Mixture Density Networks for Classification with an Application to Product Bundling
Narendhar Gugulothu, Sanjay P. Bhat, Tejas Bodas
While mixture density networks (MDNs) have been extensively used for regression tasks, they have not been used much for classification tasks. One reason for this is that the usabil…
Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing
Kunal Jain, Prabuchandran K. J., Tejas Bodas
Bayesian Optimization (BO) is used to find the global optima of black box functions. In this work, we propose a practical BO method of function compositions where the form of the c…
Reinforcement Learning algorithms for regret minimization in structured Markov Decision Processes
K J Prabuchandran, Tejas Bodas, Theja Tulabandhula
A recent goal in the Reinforcement Learning (RL) framework is to choose a sequence of actions or a policy to maximize the reward collected or minimize the regret incurred in a fini…