Zobrazeno 1 - 10
of 13 197
pro vyhledávání: '"Rohde P"'
Autor:
Dette, Holger, Rohde, Angelika
We introduce a new "$(m,mp/n)$ out of $(n,p)$" sampling-with-replace\-ment bootstrap for eigenvalue statistics of high-dimensional sample covariance matrices based on $n$ independent $p$-dimensional random vectors. In the high-dimensional scenario $p
Externí odkaz:
http://arxiv.org/abs/2406.16849
Optimal transport has been used to define bijective nonlinear transforms and different transport-related metrics for discriminating data and signals. Here we briefly describe the advances in this topic with the main applications and properties in eac
Externí odkaz:
http://arxiv.org/abs/2406.15503
Off-policy learning (OPL) often involves minimizing a risk estimator based on importance weighting to correct bias from the logging policy used to collect data. However, this method can produce an estimator with a high variance. A common solution is
Externí odkaz:
http://arxiv.org/abs/2406.03434
Autor:
Behrens, Max, Farhadizadeh, Maryam, Rohde, Angelika, Rühle, Alexander, Nicolay, Nils H., Binder, Harald, Zöller, Daniela
In clinical settings, we often face the challenge of building prediction models based on small observational data sets. For example, such a data set might be from a medical center in a multi-center study. Differences between centers might be large, t
Externí odkaz:
http://arxiv.org/abs/2405.07631
Autor:
Mel'nyk, Taras, Rohde, Christian
The aim of the paper is to construct and justify asymptotic approximations for solutions to quasilinear convection-diffusion problems with a predominance of nonlinear convective flow in a thin cylinder, where an inhomogeneous nonlinear Robin-type bou
Externí odkaz:
http://arxiv.org/abs/2404.07538
Autor:
Razeghi, Mohammadali, Spiece, Jean, Fonck, Valentin, Zhang, Yao, Rohde, Michael, Joris, Rikkie, Dobson, Philip S., Weaver, Jonathan M. R., Pereira, Lino da Costa, Granville, Simon, Gehring, Pascal
Solid-state cooling devices offer compact, quiet, reliable and environmentally friendly solutions that currently rely primarily on the thermoelectric (TE) effect. Despite more than two centuries of research, classical thermoelectric coolers suffer fr
Externí odkaz:
http://arxiv.org/abs/2403.13598
Autor:
Rabbi, Mohammad Shifat E, Pathan, Naqib Sad, Li, Shiying, Zhuang, Yan, Rubaiyat, Abu Hasnat Mohammad, Rohde, Gustavo K
Learning from point sets is an essential component in many computer vision and machine learning applications. Native, unordered, and permutation invariant set structure space is challenging to model, particularly for point set classification under sp
Externí odkaz:
http://arxiv.org/abs/2403.10015
In interactive systems, actions are often correlated, presenting an opportunity for more sample-efficient off-policy evaluation (OPE) and learning (OPL) in large action spaces. We introduce a unified Bayesian framework to capture these correlations t
Externí odkaz:
http://arxiv.org/abs/2402.14664
Autor:
Rohde, David
Applied recommender systems research is in a curious position. While there is a very rigorous protocol for measuring performance by A/B testing, best practice for finding a `B' to test does not explicitly target performance but rather targets a proxy
Externí odkaz:
http://arxiv.org/abs/2402.02152
We present algorithms for the computation of $\varepsilon$-coresets for $k$-median clustering of point sequences in $\mathbb{R}^d$ under the $p$-dynamic time warping (DTW) distance. Coresets under DTW have not been investigated before, and the analys
Externí odkaz:
http://arxiv.org/abs/2312.09838