160 citations · 1.5k across the 122 of their papers we have counts for
7 papers · 1 filter
Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns
Ziping Xu, Amirhossein Meisami, Ambuj Tewari
This paper studies the decision making problem with Funnel Structure. Funnel structure, a well-known concept in the marketing field, occurs in those systems where the decision make…
Federated Learning via Synthetic Data
Jack Goetz, Ambuj Tewari
Federated learning allows for the training of a model using data on multiple clients without the clients transmitting that raw data. However the standard method is to transmit mode…
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search
Tarun Gogineni, Ziping Xu, Exequiel Punzalan +4
Molecular geometry prediction of flexible molecules, or conformer search, is a long-standing challenge in computational chemistry. This task is of great importance for predicting s…
Low-Rank Generalized Linear Bandit Problems
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
In a low-rank linear bandit problem, the reward of an action (represented by a matrix of size ) is the inner product between the action and an unknown low-rank matr…
On the Equivalence between Online and Private Learnability beyond Binary Classification
Young Hun Jung, Baekjin Kim, Ambuj Tewari
Alon et al. [2019] and Bun et al. [2020] recently showed that online learnability and private PAC learnability are equivalent in binary classification. We investigate whether this…
On Learnability under General Stochastic Processes
A. Philip Dawid, Ambuj Tewari
Statistical learning theory under independent and identically distributed (iid) sampling and online learning theory for worst case individual sequences are two of the best develope…