26 citations · 49 across the 8 of their papers we have counts for
8 papers
SeLeP: Learning Based Semantic Prefetching for Exploratory Database Workloads
Farzaneh Zirak, Farhana Choudhury, Renata Borovica-Gajic
Prefetching is a crucial technique employed in traditional databases to enhance interactivity, particularly in the context of data exploitation. Data exploration is a query process…
A Simple Yet High-Performing On-disk Learned Index: Can We Have Our Cake and Eat it Too?
Hai Lan, Zhifeng Bao, J. Shane Culpepper +2
While in-memory learned indexes have shown promising performance as compared to B+-tree, most widely used databases in real applications still rely on disk-based operations. Based…
Updatable Learned Indexes Meet Disk-Resident DBMS -- From Evaluations to Design Choices
Hai Lan, Zhifeng Bao, J. Shane Culpepper +1
Although many updatable learned indexes have been proposed in recent years, whether they can outperform traditional approaches on disk remains unknown. In this study, we revisit an…
Intelligent Autonomous Intersection Management
Udesh Gunarathna, Shanika Karunasekara, Renata Borovica-Gajic +1
Connected Autonomous Vehicles will make autonomous intersection management a reality replacing traditional traffic signal control. Autonomous intersection management requires time…
Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement Learning
Udesh Gunarathna, Renata Borovica-Gajic, Shanika Karunasekara +1
Graph problems such as traveling salesman problem, or finding minimal Steiner trees are widely studied and used in data engineering and computer science. Typically, in real-world a…
Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories
Udesh Gunarathna, Hairuo Xie, Egemen Tanin +2
Traditional traffic optimization solutions assume that the graph structure of road networks is static, missing opportunities for further traffic flow optimization. We are intereste…
GeoPrune: Efficiently Finding Shareable Vehicles Based on Geometric Properties
Yixin Xu, Jianzhong Qi, Renata Borovica-Gajic +1
On-demand ride-sharing is rapidly growing.Matching trip requests to vehicles efficiently is critical for the service quality of ride-sharing. To match trip requests with vehicles,…
A Note on Bounding Regret of the CUCB Contextual Combinatorial Bandit
Bastian Oetomo, Malinga Perera, Renata Borovica-Gajic +1
We revisit the proof by Qin et al. (2014) of bounded regret of the CUCB contextual combinatorial bandit. We demonstrate an error in the proof of volumetric expansion of the mom…