Results 251 to 260 of about 530,710 (287)
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Causal Discovery with Fewer Conditional Independence Tests
International Conference on Machine LearningMany questions in science center around the fundamental problem of understanding causal relationships. However, most constraint-based causal discovery algorithms, including the well-celebrated PC algorithm, often incur an exponential number of ...
Kirankumar Shiragur +2 more
semanticscholar +1 more source
Approximate independence of permutation mixtures
arXiv.orgWe prove bounds on statistical distances between high-dimensional exchangeable mixture distributions (which we call \emph{permutation mixtures}) and their i.i.d. counterparts.
Yanjun Han, Jonathan Niles-Weed
semanticscholar +1 more source
IEEE Transactions on Mobile Computing, 2019
Providing a consistent data rate to mobile users will be a very important feature of next generation systems, i.e., 5G, especially for services such as live video-streaming, online gaming, etc. This could lead to an increased user satisfaction with these
Fidan Mehmeti, C. Rosenberg
semanticscholar +1 more source
Providing a consistent data rate to mobile users will be a very important feature of next generation systems, i.e., 5G, especially for services such as live video-streaming, online gaming, etc. This could lead to an increased user satisfaction with these
Fidan Mehmeti, C. Rosenberg
semanticscholar +1 more source
The Society for Cognitive Enhancement and Intervention
Objective: The Measure of Engagement, Independence, and Social Relationships (MEISR) is a tool designed to assess the engagement, independence, and social interactions of infants and toddlers during daily activities.
Juhyun Kim, Hyewon Park
semanticscholar +1 more source
Objective: The Measure of Engagement, Independence, and Social Relationships (MEISR) is a tool designed to assess the engagement, independence, and social interactions of infants and toddlers during daily activities.
Juhyun Kim, Hyewon Park
semanticscholar +1 more source
Strong uniform consistency of the mode estimator under α-mixing assumption and double truncation
STUDIES IN ENGINEERING AND EXACT SCIENCESThis article investigates the strong uniform consistency of mode estimators under the α-mixing hypothesis and double truncation. It addresses the challenges posed by dependent samples, particularly in the context of weak dependence, and provides ...
Karima Zerfaoui
semanticscholar +1 more source
Differentially Private Joint Independence Test
arXiv.orgIdentification of joint dependence among more than two random vectors plays an important role in many statistical applications, where the data may contain sensitive or confidential information.
Xingwei Liu, Yuexin Chen, Wangli Xu
semanticscholar +1 more source
Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversion
arXiv.orgRecent advancements in text-to-image (T2I) generation using diffusion models have enabled cost-effective video-editing applications by leveraging pre-trained models, eliminating the need for resource-intensive training. However, the frame-independence of
Yangfan He +8 more
semanticscholar +1 more source
Some Impossibility Results on the Converse Consistency Principle in Bargaining
Homo Oeconomicus, 2020Y. Chun
semanticscholar +1 more source