no code implementations • ACL (NLP4PosImpact) 2021 • Renzhe Yu, Subhro Das, Sairam Gurajada, Kush Varshney, Hari Raghavan, Carlos Lastra-Anadon
Understanding the gaps between job requirements and university curricula is crucial for improving student success and institutional effectiveness in higher education.
no code implementations • 4 Mar 2023 • Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush Varshney, Sijia Liu
We propose a new IRM variant to address this limitation based on a novel viewpoint of ensemble IRM games as consensus-constrained bi-level optimization.
no code implementations • 24 May 2021 • Hannah Kim, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Kush Varshney
Current skin disease models could make incorrect inferences for test samples from different hardware devices and clinical settings or unknown disease samples, which are out-of-distribution (OOD) from the training samples.
2 code implementations • 13 Mar 2021 • Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam, Dennis Wei, Kush Varshney, Amit Dhurandhar
Inferring causal individual treatment effect (ITE) from observational data is a challenging problem whose difficulty is exacerbated by the presence of treatment assignment bias.
no code implementations • 21 Sep 2018 • Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
To ensure that agents behave in ways aligned with the values of the societies in which they operate, we must develop techniques that allow these agents to not only maximize their reward in an environment, but also to learn and follow the implicit constraints of society.
Multi-Objective Reinforcement Learning reinforcement-learning
no code implementations • NeurIPS 2017 • Jinfeng Yi, Cho-Jui Hsieh, Kush Varshney, Lijun Zhang, Yao Li
In particular for durable goods, time utility is a function of inter-purchase duration within product category because consumers are unlikely to purchase two items in the same category in close temporal succession.