626 citations · 2.7k across the 64 of their papers we have counts for
10 papers · 1 filter
Towards Fair Recommendation in Two-Sided Platforms
Arpita Biswas, Gourab K Patro, Niloy Ganguly +2
Many online platforms today (such as Amazon, Netflix, Spotify, LinkedIn, and AirBnB) can be thought of as two-sided markets with producers and customers of goods and services. Trad…
On Fair Selection in the Presence of Implicit and Differential Variance
Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi +1
Discrimination in selection problems such as hiring or college admission is often explained by implicit bias from the decision maker against disadvantaged demographic groups. In th…
Do Invariances in Deep Neural Networks Align with Human Perception?
Vedant Nanda, Ayan Majumdar, Camila Kolling +4
An evaluation criterion for safe and trustworthy deep learning is how well the invariances captured by representations of deep neural networks (DNNs) are shared with humans. We ide…
Selfish & Opaque Transaction Ordering in the Bitcoin Blockchain: The Case for Chain Neutrality
Johnnatan Messias, Mohamed Alzayat, Balakrishnan Chandrasekaran +3
Most public blockchain protocols, including the popular Bitcoin and Ethereum blockchains, do not formally specify the order in which miners should select transactions from the pool…
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning
Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
Reliably predicting potential failure risks of machine learning (ML) systems when deployed with production data is a crucial aspect of trustworthy AI. This paper introduces Risk Ad…
Modeling Coordinated vs. P2P Mining: An Analysis of Inefficiency and Inequality in Proof-of-Work Blockchains
Mohamed Alzayat, Johnnatan Messias, Balakrishnan Chandrasekaran +2
We study efficiency in a proof-of-work blockchain with non-zero latencies, focusing in particular on the (inequality in) individual miners' efficiencies. Prior work attributed diff…