Zobrazeno 1 - 10
of 245
pro vyhledávání: '"Karmalkar P"'
We study the problem of learning a single neuron with respect to the $L_2^2$-loss in the presence of adversarial distribution shifts, where the labels can be arbitrary, and the goal is to find a ``best-fit'' function. More precisely, given training s
Externí odkaz:
http://arxiv.org/abs/2411.06697
Non-Gaussian Component Analysis (NGCA) is the statistical task of finding a non-Gaussian direction in a high-dimensional dataset. Specifically, given i.i.d.\ samples from a distribution $P^A_{v}$ on $\mathbb{R}^n$ that behaves like a known distributi
Externí odkaz:
http://arxiv.org/abs/2410.21426
We initiate the study of stochastic optimization with oblivious noise, broadly generalizing the standard heavy-tailed noise setup. In our setting, in addition to random observation noise, the stochastic gradient may be subject to independent obliviou
Externí odkaz:
http://arxiv.org/abs/2408.02090
We study Gaussian sparse estimation tasks in Huber's contamination model with a focus on mean estimation, PCA, and linear regression. For each of these tasks, we give the first sample and computationally efficient robust estimators with optimal error
Externí odkaz:
http://arxiv.org/abs/2403.10416
We investigate a variation of the 3D registration problem, named multi-model 3D registration. In the multi-model registration problem, we are given two point clouds picturing a set of objects at different poses (and possibly including points belongin
Externí odkaz:
http://arxiv.org/abs/2402.10865
We demonstrate the first algorithms for the problem of regression for generalized linear models (GLMs) in the presence of additive oblivious noise. We assume we have sample access to examples $(x, y)$ where $y$ is a noisy measurement of $g(w^* \cdot
Externí odkaz:
http://arxiv.org/abs/2309.11657
Autor:
Pooja Shah, Sae Pol, Esther Prabhakaran, Bhakti Karmalkar, Vaishali Gaikwad, Sujata Dharamshale, Rajesh Karyakarte
Publikováno v:
Perspectives In Medical Research, Vol 12, Iss 02, Pp 47-51 (2024)
Background: Tuberculosis (TB) remains a significant public health challenge in developing countries, including India, where children under 15 years account for 12% of all TB cases. The National Tuberculosis Elimination Programme (NTEP) recommends the
Externí odkaz:
https://doaj.org/article/fceddc17e8104c838b786f496727d2f1
Autor:
Erica Spies, Jennifer A. Flynn, Nuno Guitian Oliveira, Prathamesh Karmalkar, Harsha Gurulingappa
Publikováno v:
Frontiers in Digital Health, Vol 6 (2024)
This article examines the opportunities and benefits of artificial intelligence (AI)–enabled social media listening (SML) in assisting successful patient-focused drug development (PFDD). PFDD aims to incorporate the patient perspective to improve t
Externí odkaz:
https://doaj.org/article/8babe48591424d3dbe7482455dde1cf2
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Arctic precipitation in the form of rain is forecast to become more prevalent in a warmer world but with seasonal and interannual changes modulated by natural modes of variability. Experiencing rapid hydroclimatic changes in the Arctic, Sval
Externí odkaz:
https://doaj.org/article/c22ab6a4024f4e9d80805c27d8f21731
We study the problem of list-decodable sparse mean estimation. Specifically, for a parameter $\alpha \in (0, 1/2)$, we are given $m$ points in $\mathbb{R}^n$, $\lfloor \alpha m \rfloor$ of which are i.i.d. samples from a distribution $D$ with unknown
Externí odkaz:
http://arxiv.org/abs/2206.05245