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Jayanth Yetukuri
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2020 – today
- 2024
- [b1]Jayanth Yetukuri:
Towards socially acceptable algorithmic models: A study with Actionable Recourse. University of California, Santa Cruz, USA, 2024 - [c7]Jayanth Yetukuri, Ian Hardy, Yevgeniy Vorobeychik, Berk Ustun, Yang Liu:
Providing Fair Recourse over Plausible Groups. AAAI 2024: 21753-21760 - [c6]Jayanth Yetukuri, Yuyan Wang, Ishita Khan, Liyang Hao, Zhe Wu, Yang Liu:
Multifaceted Reformulations for Null & Low queries and its parallelism with Counterfactuals. ICDE 2024: 5327-5333 - 2023
- [c5]Ian Hardy
, Jayanth Yetukuri
Adaptive Adversarial Training Does Not Increase Recourse Costs. AIES 2023: 432-442 - [c4]Jayanth Yetukuri
Towards User Guided Actionable Recourse. AIES 2023: 742-751 - [c3]Jayanth Yetukuri
Individual and Group-level considerations of Actionable Recourse. AIES 2023: 1008-1009 - [i2]Jayanth Yetukuri, Ian Hardy, Yang Liu:
Towards User Guided Actionable Recourse. CoRR abs/2309.02517 (2023) - [i1]Ian Hardy, Jayanth Yetukuri, Yang Liu:
Adaptive Adversarial Training Does Not Increase Recourse Costs. CoRR abs/2309.02528 (2023) - 2022
- [c2]Jayanth Yetukuri, Yang Liu:
Robust Stochastic Bandit algorithms to defend against Oracle attack using Sample Dropout. IEEE Big Data 2022: 5845-5854
2010 – 2019
- 2019
- [c1]Fahim Hasan Khan, Akila de Silva
Sequential Image Synthesis for Human Activity Video Generation. ICIAR (2) 2019: 129-133
Coauthor Index
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