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of 581
pro vyhledávání: '"Shah, Sanket"'
The declining participation of beneficiaries over time is a key concern in public health programs. A popular strategy for improving retention is to have health workers `intervene' on beneficiaries at risk of dropping out. However, the availability an
Externí odkaz:
http://arxiv.org/abs/2403.05683
When resources are scarce, an allocation policy is needed to decide who receives a resource. This problem occurs, for instance, when allocating scarce medical resources and is often solved using modern ML methods. This paper introduces methods to eva
Externí odkaz:
http://arxiv.org/abs/2402.11771
Indian currency coins come in a variety of denominations. Off all the varieties Rs.1, RS.2, and Rs.5 have similar diameters. Majority of the coin styles in market circulation for denominations of Rs.1 and Rs.2 coins are nearly the same except for num
Externí odkaz:
http://arxiv.org/abs/2306.06084
Predict-then-Optimize is a framework for using machine learning to perform decision-making under uncertainty. The central research question it asks is, "How can the structure of a decision-making task be used to tailor ML models for that specific tas
Externí odkaz:
http://arxiv.org/abs/2305.16830
Decision-Focused Learning (DFL) is a paradigm for tailoring a predictive model to a downstream optimization task that uses its predictions in order to perform better on that specific task. The main technical challenge associated with DFL is that it r
Externí odkaz:
http://arxiv.org/abs/2203.16067
Autor:
Wang, Kai, Verma, Shresth, Mate, Aditya, Shah, Sanket, Taneja, Aparna, Madhiwalla, Neha, Hegde, Aparna, Tambe, Milind
This paper studies restless multi-armed bandit (RMAB) problems with unknown arm transition dynamics but with known correlated arm features. The goal is to learn a model to predict transition dynamics given features, where the Whittle index policy sol
Externí odkaz:
http://arxiv.org/abs/2202.00916
Autor:
Qureshi, Sajid S., Voppuru, Saiesh Reddy, Smriti, Vasundhara, Baheti, Akshay, Shah, Sanket, Chinnaswamy, Girish, Prasad, Maya, Parambil, Badira C., Gollamudi, Venkata RM., Panjwani, Poonam, Ramadwar, Mukta, Amin, Nayana, Kembhavi, Seema A.
Publikováno v:
In Journal of Pediatric Surgery August 2024 59(8):1556-1563
Adversarial example (AE) aims at fooling a Convolution Neural Network by introducing small perturbations in the input image.The proposed work uses the magnitude and phase of the Fourier Spectrum and the entropy of the image to defend against AE. We d
Externí odkaz:
http://arxiv.org/abs/2110.13935
Rideshare and ride-pooling platforms use artificial intelligence-based matching algorithms to pair riders and drivers. However, these platforms can induce inequality either through an unequal income distribution or disparate treatment of riders. We i
Externí odkaz:
http://arxiv.org/abs/2110.03524
Autor:
Katawale, Saurabh, Tank, Shivali, Dhaygude, Harshali, Holm, René, Shah, Sanket, Shinde, Ujwala, Shidhaye, Supriya, Aswal, Vinod, Kumar, Sugam, Nagarsenker, Mangal
Publikováno v:
In International Journal of Pharmaceutics 25 May 2024 657