activity
20152018
most citedAn Overview of Machine Teaching

102 citations · 119 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2018102 cited

An Overview of Machine Teaching

Xiaojin Zhu, Adish Singla, Sandra Zilles +1

In this paper we try to organize machine teaching as a coherent set of ideas. Each idea is presented as varying along a dimension. The collection of dimensions then form the proble…

cs.LG2017

Learning User Preferences to Incentivize Exploration in the Sharing Economy

Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek +1

We study platforms in the sharing economy and discuss the need for incentivizing users to explore options that otherwise would not be chosen. For instance, rental platforms such as…

cs.GT2017

Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints

Goran Radanovic, Adish Singla, Andreas Krause +1

We study a problem of optimal information gathering from multiple data providers that need to be incentivized to provide accurate information. This problem arises in many real worl…

cs.LG20172 cited

Learning to Use Learners' Advice

Adish Singla, Hamed Hassani, Andreas Krause

In this paper, we study a variant of the framework of online learning using expert advice with limited/bandit feedback. We consider each expert as a learning entity, seeking to mor…

cs.LG2017

Coordinated Online Learning With Applications to Learning User Preferences

Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek +1

We study an online multi-task learning setting, in which instances of related tasks arrive sequentially, and are handled by task-specific online learners. We consider an algorithmi…

stat.ML2016

Actively Learning Hemimetrics with Applications to Eliciting User Preferences

Adish Singla, Sebastian Tschiatschek, Andreas Krause

Motivated by an application of eliciting users' preferences, we investigate the problem of learning hemimetrics, i.e., pairwise distances among a set of items that satisfy tria…