5 papers
Tippett-minimum Fusion of Representation-space Diffusion Models for Multi-Encoder Out-of-Distribution Detection
Neelkamal Bhuyan
We address out-of-distribution (OOD) detection across the full spectrum of distribution shifts -- global domain changes, semantic divergence, texture differences, and covariate cor…
Exploiting Spot Instances for Time-Critical Cloud Workloads Using Optimal Randomized Strategies
Neelkamal Bhuyan, Randeep Bhatia, Murali Kodialam +1
This paper addresses the challenge of deadline-aware online scheduling for jobs in hybrid cloud environments, where jobs may run on either cost-effective but unreliable spot instan…
Opportunistic Scheduling for Optimal Spot Instance Savings in the Cloud
Neelkamal Bhuyan, Randeep Bhatia, Murali Kodialam +1
We study the problem of scheduling delay-sensitive jobs over spot and on-demand cloud instances to minimize average cost while meeting an average delay constraint. Jobs arrive as a…
SCaLE: Switching Cost aware Learning and Exploration
Neelkamal Bhuyan, Debankur Mukherjee, Adam Wierman
This work addresses the fundamental problem of unbounded metric movement costs in bandit online convex optimization, by considering high-dimensional dynamic quadratic hitting costs…
Optimal Decentralized Smoothed Online Convex Optimization
Neelkamal Bhuyan, Debankur Mukherjee, Adam Wierman
We study the multi-agent Smoothed Online Convex Optimization (SOCO) problem, where agents interact through a communication graph. In each round, each agent receives a stron…