Zobrazeno 1 - 10
of 7 601
pro vyhledávání: '"P, Blanchet"'
Autor:
Singh, Priyank, Gunyhó, András, Suominen, Heikki, Catto, Giacomo, Blanchet, Florian, Chen, Qi-Ming, Alizadeh, Arman, Keränen, Aarne, Ma, Jian, Mörstedt, Timm, Liu, Wei, Möttonen, Mikko
Recently, ultrasensitive calorimeters have been proposed as a resource-efficient solution for multiplexed qubit readout in superconducting large-scale quantum processors. However, experiments demonstrating frequency multiplexing of these superconduct
Externí odkaz:
http://arxiv.org/abs/2411.12782
Stochastic gradient descent is a classic algorithm that has gained great popularity especially in the last decades as the most common approach for training models in machine learning. While the algorithm has been well-studied when stochastic gradient
Externí odkaz:
http://arxiv.org/abs/2410.16340
Autor:
Qu, Yanlin, Kant, Ravi, Chen, Yan, Kitts, Brendan, Gultekin, San, Flores, Aaron, Blanchet, Jose
Bid shading has become a standard practice in the digital advertising industry, in which most auctions for advertising (ad) opportunities are now of first price type. Given an ad opportunity, performing bid shading requires estimating not only the va
Externí odkaz:
http://arxiv.org/abs/2410.14864
Downsampling or under-sampling is a technique that is utilized in the context of large and highly imbalanced classification models. We study optimal downsampling for imbalanced classification using generalized linear models (GLMs). We propose a pseud
Externí odkaz:
http://arxiv.org/abs/2410.08994
Autor:
Blanchet, Jose, Zhang, Zhenyuan
Given a discrete-time non-lattice supercritical branching random walk in $\mathbb{R}^d$, we investigate its first passage time to a shifted unit ball of a distance $x$ from the origin, conditioned upon survival. We provide precise asymptotics up to $
Externí odkaz:
http://arxiv.org/abs/2410.02635
Autor:
Martel, Ulrich, Albert, Romain, Blanchet, Florian, Griesmar, Joël, Ouellet, Gabriel, Therrien, Hugo, Nehra, Naveen, Bourlet, Nicolas, Hofheinz, Max
We experimentally show that the Inelastic Cooper-Pair Tunneling Amplifier (ICTA), implementing a DC-powered parametric amplification scheme, can achieve gain and noise performance similar to that of Josephson parametric amplifiers. Using experimental
Externí odkaz:
http://arxiv.org/abs/2409.18349
The entanglement of non-complementary regions is investigated in an inhomogeneous free-fermion chain through the lens of the fermionic logarithmic negativity. Focus is on the Krawtchouk chain, whose relation to the eponymous orthogonal polynomials al
Externí odkaz:
http://arxiv.org/abs/2408.16531
The empirical Wasserstein projection (WP) distance quantifies the Wasserstein distance from the empirical distribution to a set of probability measures satisfying given expectation constraints. The WP is a powerful tool because it mitigates the curse
Externí odkaz:
http://arxiv.org/abs/2408.11753
The Wasserstein distance $\mathcal{W}_p$ is an important instance of an optimal transport cost. Its numerous mathematical properties as well as applications to various fields such as mathematical finance and statistics have been well studied in recen
Externí odkaz:
http://arxiv.org/abs/2407.21492
Autor:
Kuiper, Patrick, Hasan, Ali, Yang, Wenhao, Ng, Yuting, Bidkhori, Hoda, Blanchet, Jose, Tarokh, Vahid
The goal of this paper is to develop distributionally robust optimization (DRO) estimators, specifically for multidimensional Extreme Value Theory (EVT) statistics. EVT supports using semi-parametric models called max-stable distributions built from
Externí odkaz:
http://arxiv.org/abs/2408.00131