16 citations · 23 across the 7 of their papers we have counts for
9 papers
JacNet: Learning Functions with Structured Jacobians
Jonathan Lorraine, Safwan Hossain
Neural networks are trained to learn an approximate mapping from an input domain to a target domain. Incorporating prior knowledge about true mappings is critical to learning a use…
Equilibrium of Data Markets with Externality
Safwan Hossain, Yiling Chen
We model real-world data markets, where sellers post fixed prices and buyers are free to purchase from any set of sellers, as a simultaneous game. A key component here is the negat…
Proportionally Fair Online Allocation of Public Goods with Predictions
Siddhartha Banerjee, Vasilis Gkatzelis, Safwan Hossain +3
We design online algorithms for the fair allocation of public goods to a set of agents over a sequence of rounds and focus on improving their performance using predictions.…
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP
John Chen, Ian Berlot-Attwell, Safwan Hossain +2
Clinical machine learning is increasingly multimodal, collected in both structured tabular formats and unstructured forms such as freetext. We propose a novel task of exploring fai…
The Effect of Strategic Noise in Linear Regression
Safwan Hossain, Nisarg Shah
We build on an emerging line of work which studies strategic manipulations in training data provided to machine learning algorithms. Specifically, we focus on the ubiquitous task o…
Fair Algorithms for Multi-Agent Multi-Armed Bandits
Safwan Hossain, Evi Micha, Nisarg Shah
We propose a multi-agent variant of the classical multi-armed bandit problem, in which there are agents and arms, and pulling an arm generates a (possibly different) stocha…
Generative Adversarial Networks for text using word2vec intermediaries
Akshay Budhkar, Krishnapriya Vishnubhotla, Safwan Hossain +1
Generative adversarial networks (GANs) have shown considerable success, especially in the realistic generation of images. In this work, we apply similar techniques for the generati…
DeepConsensus: using the consensus of features from multiple layers to attain robust image classification
Yuchen Li, Safwan Hossain, Kiarash Jamali +1
We consider a classifier whose test set is exposed to various perturbations that are not present in the training set. These test samples still contain enough features to map them t…
ChainGAN: A sequential approach to GANs
Safwan Hossain, Kiarash Jamali, Yuchen Li +1
We propose a new architecture and training methodology for generative adversarial networks. Current approaches attempt to learn the transformation from a noise sample to a generate…