54 citations · 173 across the 30 of their papers we have counts for
4 papers · 1 filter
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes
Tarun Kathuria, Amit Deshpande, Pushmeet Kohli
Gaussian Process bandit optimization has emerged as a powerful tool for optimizing noisy black box functions. One example in machine learning is hyper-parameter optimization where…
How to be Fair and Diverse?
L. Elisa Celis, Amit Deshpande, Tarun Kathuria +1
Due to the recent cases of algorithmic bias in data-driven decision-making, machine learning methods are being put under the microscope in order to understand the root cause of the…
On the Complexity of Constrained Determinantal Point Processes
L. Elisa Celis, Amit Deshpande, Tarun Kathuria +2
Determinantal Point Processes (DPPs) are probabilistic models that arise in quantum physics and random matrix theory and have recently found numerous applications in computer scien…
On Sampling and Greedy MAP Inference of Constrained Determinantal Point Processes
Tarun Kathuria, Amit Deshpande
Subset selection problems ask for a small, diverse yet representative subset of the given data. When pairwise similarities are captured by a kernel, the determinants of submatrices…