17 citations · 59 across the 26 of their papers we have counts for
5 papers · 1 filter
Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback
Junxiong Wang, Debabrota Basu, Immanuel Trummer
In black-box optimization problems, we aim to maximize an unknown objective function, where the function is only accessible through feedbacks of an evaluation or simulation oracle.…
Algorithmic Fairness Verification with Graphical Models
Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
In recent years, machine learning (ML) algorithms have been deployed in safety-critical and high-stake decision-making, where the fairness of algorithms is of paramount importance.…
UDO: Universal Database Optimization using Reinforcement Learning
Junxiong Wang, Immanuel Trummer, Debabrota Basu
UDO is a versatile tool for offline tuning of database systems for specific workloads. UDO can consider a variety of tuning choices, reaching from picking transaction code variants…
On Meritocracy in Optimal Set Selection
Thomas Kleine Buening, Meirav Segal, Debabrota Basu +2
Typically, merit is defined with respect to some intrinsic measure of worth. We instead consider a setting where an individual's worth is \emph{relative}: when a Decision Maker (DM…
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning
Hannes Eriksson, Debabrota Basu, Mina Alibeigi +1
In this paper, we consider risk-sensitive sequential decision-making in Reinforcement Learning (RL). Our contributions are two-fold. First, we introduce a novel and coherent quanti…