Sohini Upadhyay

According to our database, Sohini Upadhyay authored at least 16 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Metric Elicitation; Moving from Theory to Practice.

Safinah Ali, Sohini Upadhyay, Gaurush Hiranandani, Elena L. Glassman, Oluwasanmi Koyejo

CoRR, 2022

Linear Upper Confident Bound with Missing Reward: Online Learning with Less Data.

Djallel Bouneffouf, Sohini Upadhyay, Yasaman Khazaeni

Proceedings of the International Joint Conference on Neural Networks, 2022

Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.

Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, Himabindu Lakkaraju

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations.

Jessica Dai, Sohini Upadhyay, Ulrich Aïvodji, Stephen H. Bach, Himabindu Lakkaraju

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

Extending LIME for Business Process Automation.

Sohini Upadhyay, Vatche Isahagian, Vinod Muthusamy, Yara Rizk

CoRR, 2021

What will it take to generate fairness-preserving explanations?

Jessica Dai, Sohini Upadhyay, Stephen H. Bach, Himabindu Lakkaraju

CoRR, 2021

On the Connections between Counterfactual Explanations and Adversarial Examples.

Martin Pawelczyk, Shalmali Joshi, Chirag Agarwal, Sohini Upadhyay, Himabindu Lakkaraju

CoRR, 2021

Towards Robust and Reliable Algorithmic Recourse.

Sohini Upadhyay, Shalmali Joshi, Himabindu Lakkaraju

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Toward Optimal Solution for the Context-Attentive Bandit Problem.

Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Irina Rish, Yasaman Khazaeni

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Towards the Unification and Robustness of Perturbation and Gradient Based Explanations.

Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, Himabindu Lakkaraju

Proceedings of the 38th International Conference on Machine Learning, 2021

Double-Linear Thompson Sampling for Context-Attentive Bandits.

Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Yasaman Khazaeni, Irina Rish

Proceedings of the IEEE International Conference on Acoustics, 2021

Toward Skills Dialog Orchestration with Online Learning.

Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Mayank Agarwal, Yasaman Khazaeni, Irina Rish

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Online Semi-Supervised Learning with Bandit Feedback.

Sohini Upadhyay, Mikhail Yurochkin, Mayank Agarwal, Yasaman Khazaeni, Djallel Bouneffouf

CoRR, 2020

Contextual Bandit with Missing Rewards.

Djallel Bouneffouf, Sohini Upadhyay, Yasaman Khazaeni

CoRR, 2020

TraceHub - A Platform to Bridge the Gap between State-of-the-Art Time-Series Analytics and Datasets.

Shubham Agarwal, Christian Muise, Mayank Agarwal, Sohini Upadhyay, Zilu Tang, Zhongshen Zeng, Yasaman Khazaeni

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Bandit Approach to Posterior Dialog Orchestration Under a Budget.

Sohini Upadhyay, Mayank Agarwal, Djallel Bouneffouf, Yasaman Khazaeni

CoRR, 2019