9 citations · 14 across the 4 of their papers we have counts for
4 papers
CTRL Your Shift: Clustered Transfer Residual Learning for Many Small Datasets
Gauri Jain, Dominik Rothenhäusler, Kirk Bansak +1
Machine learning (ML) tasks often utilize large-scale data that is drawn from several distinct sources, such as different locations, treatment arms, or groups. In such settings, pr…
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve
Sean R. Sinclair, Gauri Jain, Siddhartha Banerjee +1
We consider the problem of dividing limited resources to individuals arriving over rounds. Each round has a random number of individuals arrive, and individuals can be characte…
Sequential Fair Allocation of Limited Resources under Stochastic Demands
Sean R. Sinclair, Gauri Jain, Siddhartha Banerjee +1
We consider the problem of dividing limited resources between a set of agents arriving sequentially with unknown (stochastic) utilities. Our goal is to find a fair allocation - one…
Adaptive Discretization for Model-Based Reinforcement Learning
Sean R. Sinclair, Tianyu Wang, Gauri Jain +2
We introduce the technique of adaptive discretization to design an efficient model-based episodic reinforcement learning algorithm in large (potentially continuous) state-action sp…