Zobrazeno 1 - 10
of 27 281
pro vyhledávání: '"KHANNA, P"'
We provide space complexity lower bounds for data structures that approximate logistic loss up to $\epsilon$-relative error on a logistic regression problem with data $\mathbf{X} \in \mathbb{R}^{n \times d}$ and labels $\mathbf{y} \in \{-1,1\}^d$. Th
Externí odkaz:
http://arxiv.org/abs/2412.02639
Large language models (LLMs) have revolutionized the field of natural language processing with their impressive reasoning and question-answering capabilities. However, these models are sometimes prone to generating credible-sounding but incorrect inf
Externí odkaz:
http://arxiv.org/abs/2412.02904
We present improved approximation algorithms for some problems in the related areas of Flexible Graph Connectivity and Capacitated Network Design. In the $(p,q)$-Flexible Graph Connectivity problem, denoted $(p,q)$-FGC, the input is a graph $G(V, E)$
Externí odkaz:
http://arxiv.org/abs/2411.18809
Life insurance, like other forms of insurance, relies heavily on large volumes of data. The business model is based on an exchange where companies receive payments in return for the promise to provide coverage in case of an accident. Thus, trust in t
Externí odkaz:
http://arxiv.org/abs/2411.17495
Autor:
Liu, Yunong, Eyzaguirre, Cristobal, Li, Manling, Khanna, Shubh, Niebles, Juan Carlos, Ravi, Vineeth, Mishra, Saumitra, Liu, Weiyu, Wu, Jiajun
Shape assembly is a ubiquitous task in daily life, integral for constructing complex 3D structures like IKEA furniture. While significant progress has been made in developing autonomous agents for shape assembly, existing datasets have not yet tackle
Externí odkaz:
http://arxiv.org/abs/2411.11409
Autor:
Kurbatov, Evgeny P., Belokurov, Vasily, Koposov, Sergey, Kravtsov, Andrey, Davies, Elliot Y., Brown, Anthony G. A., Cantat-Gaudin, Tristan, Castro-Ginard, Alfred, Casey, Andrew R., Drimmel, Ronald, Fouesneau, Morgan, Khanna, Shourya, Rix, Hans-Walter, Wallace, Alex
The innermost portions of the Milky Way's stellar halo have avoided scrutiny until recently. The lack of wide-area survey data, made it difficult to reconstruct an uninterrupted view of the density distribution of the metal-poor stars inside the Sola
Externí odkaz:
http://arxiv.org/abs/2410.22250
Autor:
Khanna, Shourya, Yu, Jie, Drimmel, Ronald, Poggio, Eloisa, Cantat-Gaudin, Tristan, Castro-Ginard, Alfred, Kurbatov, Evgeny, Belokurov, Vasily, Brown, Anthony, Fouesneau, Morgan, Casey, Andrew, Rix, Hans-Walter
We present an exploration of the Milky Way's structural parameters using an all-sky sample of RC giants to map the stellar density from the inner to the outer parts of the Galactic disc. These evolved giants are considered to be standard candles due
Externí odkaz:
http://arxiv.org/abs/2410.22036
In this article, we seek to elucidate challenges and opportunities for differential privacy within the federal government setting, as seen by a team of differential privacy researchers, privacy lawyers, and data scientists working closely with the U.
Externí odkaz:
http://arxiv.org/abs/2410.16423
In this paper, we extend a result of Schwick concerning normality and sharing values in one complex variable for families of holomorphic curves taking values in $\mathbb{P}^n$. We consider wandering moving hyperplanes (i.e., depending on the respecti
Externí odkaz:
http://arxiv.org/abs/2410.13433
Autor:
Irvin, Jeremy Andrew, Liu, Emily Ruoyu, Chen, Joyce Chuyi, Dormoy, Ines, Kim, Jinyoung, Khanna, Samar, Zheng, Zhuo, Ermon, Stefano
Large vision and language assistants have enabled new capabilities for interpreting natural images. These approaches have recently been adapted to earth observation data, but they are only able to handle single image inputs, limiting their use for ma
Externí odkaz:
http://arxiv.org/abs/2410.06234