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ORCIDSohini Upadhyay
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2020 – today
- 2024
[c11]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: 478:1-478:16- [c10]Agathe Balayn, Yulu Pi, David Gray Widder, Kars Alfrink, Mireia Yurrita, Sohini Upadhyay, Naveena Karusala, Henrietta Lyons, Cagatay Turkay, Christelle Tessono, Blair Attard-Frost, Ujwal Gadiraju:
From Stem to Stern: Contestability Along AI Value Chains. CSCW Companion 2024: 720-723 - [i12]Agathe Balayn, Yulu Pi, David Gray Widder, Kars Alfrink, Mireia Yurrita, Sohini Upadhyay, Naveena Karusala, Henrietta Lyons, Cagatay Turkay, Christelle Tessono, Blair Attard-Frost, Ujwal Gadiraju:
From Stem to Stern: Contestability Along AI Value Chains. CoRR abs/2408.01051 (2024) - 2022
- [c9]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: 203-214 - [c8]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: 4574-4594 - [c7]Djallel Bouneffouf, Sohini Upadhyay, Yasaman Khazaeni:
Linear Upper Confident Bound with Missing Reward: Online Learning with Less Data. IJCNN 2022: 1-6 - [i11]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 abs/2205.07277 (2022) - [i10]Safinah Ali, Sohini Upadhyay, Gaurush Hiranandani, Elena L. Glassman, Oluwasanmi Koyejo:
Metric Elicitation; Moving from Theory to Practice. CoRR abs/2212.03495 (2022) - 2021
- [c6]Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Yasaman Khazaeni, Irina Rish:
Double-Linear Thompson Sampling for Context-Attentive Bandits. ICASSP 2021: 3450-3454 - [c5]Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Mayank Agarwal, Yasaman Khazaeni, Irina Rish:
Toward Skills Dialog Orchestration with Online Learning. ICASSP 2021: 3600-3604 - [c4]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: 110-119 - [c3]Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Irina Rish, Yasaman Khazaeni:
Toward Optimal Solution for the Context-Attentive Bandit Problem. IJCAI 2021: 3493-3500 - [c2]Sohini Upadhyay, Shalmali Joshi, Himabindu Lakkaraju:
Towards Robust and Reliable Algorithmic Recourse. NeurIPS 2021: 16926-16937 - [i9]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 abs/2102.10618 (2021) - [i8]Sohini Upadhyay, Shalmali Joshi, Himabindu Lakkaraju:
Towards Robust and Reliable Algorithmic Recourse. CoRR abs/2102.13620 (2021) - [i7]Martin Pawelczyk, Shalmali Joshi, Chirag Agarwal, Sohini Upadhyay, Himabindu Lakkaraju:
On the Connections between Counterfactual Explanations and Adversarial Examples. CoRR abs/2106.09992 (2021) - [i6]Jessica Dai, Sohini Upadhyay, Stephen H. Bach, Himabindu Lakkaraju:
What will it take to generate fairness-preserving explanations? CoRR abs/2106.13346 (2021) - [i5]Sohini Upadhyay, Vatche Isahagian, Vinod Muthusamy, Yara Rizk:
Extending LIME for Business Process Automation. CoRR abs/2108.04371 (2021) - 2020
- [c1]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: 13600-13601 - [i4]Djallel Bouneffouf, Sohini Upadhyay, Yasaman Khazaeni:
Contextual Bandit with Missing Rewards. CoRR abs/2007.06368 (2020) - [i3]Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Yasaman Khazaeni, Irina Rish:
Double-Linear Thompson Sampling for Context-Attentive Bandits. CoRR abs/2010.09473 (2020) - [i2]Sohini Upadhyay, Mikhail Yurochkin, Mayank Agarwal, Yasaman Khazaeni, Djallel Bouneffouf:
Online Semi-Supervised Learning with Bandit Feedback. CoRR abs/2010.12574 (2020)
2010 – 2019
- 2019
- [i1]Sohini Upadhyay, Mayank Agarwal, Djallel Bouneffouf, Yasaman Khazaeni:
A Bandit Approach to Posterior Dialog Orchestration Under a Budget. CoRR abs/1906.09384 (2019)
Coauthor Index
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