Sohini Upadhyay

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Graph Transduction

Contextual Bandit

Process Automation

Top Venues

Publications

Naveena Karusala, Sohini Upadhyay, Rajesh Veeraraghavan, Krzysztof Z. Gajos
Understanding Contestability on the Margins: Implications for the Design of Algorithmic Decision-making in Public Services. CHI (2024)
Jessica Dai, Sohini Upadhyay, Ulrich Aïvodji, Stephen H. Bach, Himabindu Lakkaraju
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations. CoRR (2022)
Jessica Dai, Sohini Upadhyay, Ulrich Aïvodji, Stephen H. Bach, Himabindu Lakkaraju
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations. AIES (2022)
Safinah Ali, Sohini Upadhyay, Gaurush Hiranandani, Elena L. Glassman, Oluwasanmi Koyejo
Metric Elicitation; Moving from Theory to Practice. CoRR (2022)
Djallel Bouneffouf, Sohini Upadhyay, Yasaman Khazaeni
Linear Upper Confident Bound with Missing Reward: Online Learning with Less Data. IJCNN (2022)
Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, Himabindu Lakkaraju
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis. AISTATS (2022)
Martin Pawelczyk, Shalmali Joshi, Chirag Agarwal, Sohini Upadhyay, Himabindu Lakkaraju
On the Connections between Counterfactual Explanations and Adversarial Examples. CoRR (2021)
Sohini Upadhyay, Shalmali Joshi, Himabindu Lakkaraju
Towards Robust and Reliable Algorithmic Recourse. NeurIPS (2021)
Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Irina Rish, Yasaman Khazaeni
Toward Optimal Solution for the Context-Attentive Bandit Problem. IJCAI (2021)
Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Yasaman Khazaeni, Irina Rish
Double-Linear Thompson Sampling for Context-Attentive Bandits. ICASSP (2021)
Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Mayank Agarwal, Yasaman Khazaeni, Irina Rish
Toward Skills Dialog Orchestration with Online Learning. ICASSP (2021)
Sohini Upadhyay, Shalmali Joshi, Himabindu Lakkaraju
Towards Robust and Reliable Algorithmic Recourse. CoRR (2021)
Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, Himabindu Lakkaraju
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations. ICML (2021)
Jessica Dai, Sohini Upadhyay, Stephen H. Bach, Himabindu Lakkaraju
What will it take to generate fairness-preserving explanations? CoRR (2021)
Sohini Upadhyay, Vatche Isahagian, Vinod Muthusamy, Yara Rizk
Extending LIME for Business Process Automation. CoRR (2021)
Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Zhiwei Steven Wu, Himabindu Lakkaraju
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations. CoRR (2021)
Sohini Upadhyay, Mikhail Yurochkin, Mayank Agarwal, Yasaman Khazaeni, Djallel Bouneffouf
Online Semi-Supervised Learning with Bandit Feedback. CoRR (2020)
Shubham Agarwal, Christian Muise, Mayank Agarwal, Sohini Upadhyay, Zilu Tang, Zhongshen Zeng, Yasaman Khazaeni
TraceHub - A Platform to Bridge the Gap between State-of-the-Art Time-Series Analytics and Datasets. AAAI (2020)
Djallel Bouneffouf, Sohini Upadhyay, Yasaman Khazaeni
Contextual Bandit with Missing Rewards. CoRR (2020)
Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Yasaman Khazaeni, Irina Rish
Double-Linear Thompson Sampling for Context-Attentive Bandits. CoRR (2020)
Sohini Upadhyay, Mayank Agarwal, Djallel Bouneffouf, Yasaman Khazaeni
A Bandit Approach to Posterior Dialog Orchestration Under a Budget. CoRR (2019)