24 citations · 118 across the 50 of their papers we have counts for
5 papers · 1 filter
Block-Structure Based Time-Series Models For Graph Sequences
Mehrnaz Amjadi, Theja Tulabandhula
Although the computational and statistical trade-off for modeling single graphs, for instance, using block models is relatively well understood, extending such results to sequences…
An Online Algorithm for Learning Buyer Behavior under Realistic Pricing Restrictions
Debjyoti Saharoy, Theja Tulabandhula
We propose a new efficient online algorithm to learn the parameters governing the purchasing behavior of a utility maximizing buyer, who responds to prices, in a repeated interacti…
Symmetry Learning for Function Approximation in Reinforcement Learning
Anuj Mahajan, Theja Tulabandhula
In this paper we explore methods to exploit symmetries for ensuring sample efficiency in reinforcement learning (RL), this problem deserves ever increasing attention with the recen…
Generalization Bounds for Learning with Linear, Polygonal, Quadratic and Conic Side Knowledge
Theja Tulabandhula, Cynthia Rudin
In this paper, we consider a supervised learning setting where side knowledge is provided about the labels of unlabeled examples. The side knowledge has the effect of reducing the…
Machine Learning with Operational Costs
Theja Tulabandhula, Cynthia Rudin
This work proposes a way to align statistical modeling with decision making. We provide a method that propagates the uncertainty in predictive modeling to the uncertainty in operat…