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This work explores extrapolation in distribution shifts, providing theoretical insights and methods for identifying target distributions using minimal samples, validated through experiments on synthetic and real-world data.
https://arxiv.org/abs//2501.09163
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
This work explores extrapolation in distribution shifts, providing theoretical insights and methods for identifying target distributions using minimal samples, validated through experiments on synthetic and real-world data.
https://arxiv.org/abs//2501.09163
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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