activity
20092023
most citedMulti-fidelity Bayesian Optimisation with Continuous Approximations

95 citations · 176 across the 14 of their papers we have counts for

collaborators

24 papers

cs.GT2023

Mechanism Design for Collaborative Normal Mean Estimation

Yiding Chen, Xiaojin Zhu, Kirthevasan Kandasamy

We study collaborative normal mean estimation, where strategic agents collect i.i.d samples from a normal distribution at a cost. They all wish to estimat…

cs.LG2023

Active Cost-aware Labeling of Streaming Data

Ting Cai, Kirthevasan Kandasamy

We study actively labeling streaming data, where an active learner is faced with a stream of data points and must carefully choose which of these points to label via an expensive e…

cs.GT2023

Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty

Wenshuo Guo, Nika Haghtalab, Kirthevasan Kandasamy +1

In online marketplaces, customers have access to hundreds of reviews for a single product. Buyers often use reviews from other customers that share their type -- such as height for…

cs.LG2021★ 1 cited

PAC Best Arm Identification Under a Deadline

Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica +3

We study -PAC best arm identification, where a decision-maker must identify an -optimal arm with probability at least , while minimizing the number of arm pulls (…

cs.LG2021

Learning Competitive Equilibria in Exchange Economies with Bandit Feedback

Wenshuo Guo, Kirthevasan Kandasamy, Joseph E Gonzalez +2

The sharing of scarce resources among multiple rational agents is one of the classical problems in economics. In exchange economies, which are used to model such situations, agents…

stat.ML2020★ 4 cited

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…