no code implementations • 24 Apr 2024 • Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas
Existing approaches to this problem either need a restrictive assumption about the short-term outcomes called surrogacy or cannot effectively use short-term outcomes, which is inefficient.
1 code implementation • 24 Apr 2020 • Carlos Fernández-Loría, Foster Provost, Jesse Anderton, Benjamin Carterette, Praveen Chandar
This study presents a systematic comparison of methods for individual treatment assignment, a general problem that arises in many applications and has received significant attention from economists, computer scientists, and social scientists.
no code implementations • 19 May 2018 • Maryam Aziz, Jesse Anderton, Javed Aslam
Boosted decision trees enjoy popularity in a variety of applications; however, for large-scale datasets, the cost of training a decision tree in each round can be prohibitively expensive.
no code implementations • 13 Mar 2018 • Maryam Aziz, Jesse Anderton, Emilie Kaufmann, Javed Aslam
We consider the problem of near-optimal arm identification in the fixed confidence setting of the infinitely armed bandit problem when nothing is known about the arm reservoir distribution.
no code implementations • 16 Feb 2018 • Jesse Anderton, Pavel Metrikov, Virgil Pavlu, Javed Aslam
We present a technique for estimating the similarity between objects such as movies or foods whose proper representation depends on human perception.