
The Daily Gauss
Dive into Algorithms and Data Insights
Abstract
- Framework for scenario programs π
- Advanced strategies for bandits π€
- Tensor spectra approximations π
- Generalized cutoff phenomena π
- Innovative dropout method for ODEs.
- M1.6 earthquake: M 1.6 β 49 km ENE of Whittier, Alaska
- M1.5 earthquake: M 1.5 β 62 km S of Whites City, New Mexico
- M1 earthquake: M 1.0 β 7 km S of Borrego Springs, CA
- M3.1 earthquake: M 3.1 β 23 km W of Petrolia, CA
- Linux on the Fujitsu Lifebook U729
- Windhawk Windows classic theme mod for Windows 11
- Weighting an average to minimize variance
arXiv AI
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arXiv Machine Learning
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arXiv Cosmology
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arXiv Probability
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arXiv Machine Learning
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USGS Earthquakes
Latest earthquake events from USGS
M 1.6 β 49 km ENE of Whittier, Alaska
Depth 25 km
Mag 1.625 km60.971, -147.877
Nov 15 2025, 12:22 PM ETΒ· 365h ago
M 1.5 β 62 km S of Whites City, New Mexico
Depth 3.0363 km
Mag 1.53 km31.624, -104.496
Nov 15 2025, 12:17 PM ETΒ· 365h ago
M 1.0 β 7 km S of Borrego Springs, CA
Depth 9.71 km
Mag 19.7 km33.194, -116.375
Nov 15 2025, 12:01 PM ETΒ· 366h ago
M 3.1 β 23 km W of Petrolia, CA
Depth 26.2000007629395 km
Mag 3.126.2 km40.335, -124.552
Nov 15 2025, 11:53 AM ETΒ· 366h ago
Hacker News
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Linux on the Fujitsu Lifebook U729
79 points β’ 47 comments
79 points47 comments
Nov 15 2025, 10:19 AM ETΒ· 367h ago
Windhawk Windows classic theme mod for Windows 11
19 points β’ 3 comments
19 points3 comments
Nov 15 2025, 11:53 AM ETΒ· 366h ago
Weighting an average to minimize variance
18 points β’ 5 comments
18 points5 comments
Nov 15 2025, 10:25 AM ETΒ· 367h ago
The Mighty Simplex (2023)
9 points β’ 1 comments
9 points1 comments
Nov 15 2025, 11:49 AM ETΒ· 366h ago
CoinGecko Prices
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Rain Viewer
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Conclusion
<strong>This week, weβre diving deep into the world of data!</strong><br>From groundbreaking <em>scenario programs</em> that make querying time series a breeze π to advanced strategies for mastering the world of multi-armed bandits π€, there's so much to explore.<br>We also peek into the cosmos with analytical approximations for tensor spectra π, and discover innovative dropout techniques for neural differential equations. <br>Join us in unraveling these complexities and see how they could transform your understanding and applications in data science! πβ¨
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