Zobrazeno 1 - 10
of 633
pro vyhledávání: '"Bani, K."'
Autor:
Chakraborty, Antik, Walsh, Jonelle B., Strigari, Louis, Mallick, Bani K., Bhattacharya, Anirban
The orbital superposition method originally developed by Schwarzschild (1979) is used to study the dynamics of growth of a black hole and its host galaxy, and has uncovered new relationships between the galaxy's global characteristics. Scientists are
Externí odkaz:
http://arxiv.org/abs/2404.03152
Thompson sampling (TS) is one of the most popular and earliest algorithms to solve stochastic multi-armed bandit problems. We consider a variant of TS, named $\alpha$-TS, where we use a fractional or $\alpha$-posterior ($\alpha\in(0,1)$) instead of t
Externí odkaz:
http://arxiv.org/abs/2309.06349
In a traditional Gaussian graphical model, data homogeneity is routinely assumed with no extra variables affecting the conditional independence. In modern genomic datasets, there is an abundance of auxiliary information, which often gets under-utiliz
Externí odkaz:
http://arxiv.org/abs/2308.07806
Single-cell RNA-sequencing technologies may provide valuable insights to the understanding of the composition of different cell types and their functions within a tissue. Recent technologies such as spatial transcriptomics, enable the measurement of
Externí odkaz:
http://arxiv.org/abs/2305.08239
With the increasing amount of distributed energy resources (DERs) integration, there is a significant need to model and analyze hosting capacity (HC) for future electric distribution grids. Hosting capacity analysis (HCA) examines the amount of DERs
Externí odkaz:
http://arxiv.org/abs/2305.07818
Posterior computation in hierarchical Dirichlet process (HDP) mixture models is an active area of research in nonparametric Bayes inference of grouped data. Existing literature almost exclusively focuses on the Chinese restaurant franchise (CRF) anal
Externí odkaz:
http://arxiv.org/abs/2304.09945
Autor:
Dasgupta, Sutanoy, Zhao, Peng, Helwig, Jacob, Ghosh, Prasenjit, Pati, Debdeep, Mallick, Bani K.
Gaussian graphical models typically assume a homogeneous structure across all subjects, which is often restrictive in applications. In this article, we propose a weighted pseudo-likelihood approach for graphical modeling which allows different subjec
Externí odkaz:
http://arxiv.org/abs/2303.08979
Autor:
Chakrabarti, Arhit, Ni, Yang, Morris, Ellen Ruth A., Salinas, Michael L., Chapkin, Robert S., Mallick, Bani K.
We consider the problem of clustering grouped data with possibly non-exchangeable groups whose dependencies can be characterized by a known directed acyclic graph. To allow the sharing of clusters among the non-exchangeable groups, we propose a Bayes
Externí odkaz:
http://arxiv.org/abs/2302.09111
Despite impressive performance, deep neural networks require significant memory and computation costs, prohibiting their application in resource-constrained scenarios. Sparse training is one of the most common techniques to reduce these costs, howeve
Externí odkaz:
http://arxiv.org/abs/2301.03573
Modern data science applications often involve complex relational data with dynamic structures. An abrupt change in such dynamic relational data is typically observed in systems that undergo regime changes due to interventions. In such a case, we con
Externí odkaz:
http://arxiv.org/abs/2210.00091