no code implementations • 24 Jan 2024 • Anmol Kagrecha, Henrik Marklund, Benjamin Van Roy, Hong Jun Jeon, Richard Zeckhauser
Common crowdsourcing systems average estimates of a latent quantity of interest provided by many crowdworkers to produce a group estimate.
no code implementations • 28 Aug 2020 • Anmol Kagrecha, Jayakrishnan Nair, Krishna Jagannathan
In this paper, we show that specialized algorithms that exploit such parametric information are prone to inconsistent learning performance when the parameter is misspecified.
1 code implementation • 22 Jun 2020 • Kumar Ashutosh, Jayakrishnan Nair, Anmol Kagrecha, Krishna Jagannathan
We study regret minimization in a stochastic multi-armed bandit setting and establish a fundamental trade-off between the regret suffered under an algorithm, and its statistical robustness.
1 code implementation • 17 Jun 2020 • Anmol Kagrecha, Jayakrishnan Nair, Krishna Jagannathan
We consider a stochastic multi-armed bandit setting and study the problem of constrained regret minimization over a given time horizon.
1 code implementation • NeurIPS 2019 • Anmol Kagrecha, Jayakrishnan Nair, Krishna Jagannathan
We also compare the error bounds for our distribution oblivious algorithms with those corresponding to standard non-oblivious algorithms.