492 citations · 1.5k across the 65 of their papers we have counts for
5 papers · 1 filter
Online Learning Demands in Max-min Fairness
Kirthevasan Kandasamy, Gur-Eyal Sela, Joseph E Gonzalez +2
We describe mechanisms for the allocation of a scarce resource among multiple users in a way that is efficient, fair, and strategy-proof, but when users do not know their resource…
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism
Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica +3
We study exploration in stochastic multi-armed bandits when we have access to a divisible resource that can be allocated in varying amounts to arm pulls. We focus in particular on…
Contrastive Code Representation Learning
Paras Jain, Ajay Jain, Tianjun Zhang +3
Recent work learns contextual representations of source code by reconstructing tokens from their context. For downstream semantic understanding tasks like summarizing code in Engli…
VCG Mechanism Design with Unknown Agent Values under Stochastic Bandit Feedback
Kirthevasan Kandasamy, Joseph E. Gonzalez, Michael I. Jordan +1
We study a multi-round welfare-maximising mechanism design problem in instances where agents do not know their values. On each round, a mechanism first assigns an allocation each t…
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline
Richard Liaw, Romil Bhardwaj, Lisa Dunlap +4
Prior research in resource scheduling for machine learning training workloads has largely focused on minimizing job completion times. Commonly, these model training workloads colle…