Asif and @AmosStorkey at their best telling us about Adversarial
Robustness of VAEs. #AISTATS2023
@shakir_za
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Adversarial Robustness of VAEs at AISTATS 2023
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Cooperative Inverse Decision Theory in AI Research
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Zack Robertson (and @sanmikoyejo
) telling us about Cooperative Inverse Decision Theory. #AISTATS2023 -
Sparse Variational Gaussian Processes Research Advancement
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Actually sparse variational Gaussian processes. from Jake Cunningham and co. #AISTATS2023
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Differential Privacy and Synthetic Control Methods in AI
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Differential privacy and synthetic control from
Saw young Rho #AISTATS2023 -
AISTATS2023 Final Day Showcases Diverse AI Research Posters
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Final day of #AISTATS2023 ends with another great session with posters showcasing an incredible breadth of work. Another short thread on some I managed to get to.
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Data Impact on Statistical Analysis Conclusions Explored
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Amazing talk from @ta_broderick on whether dropping a little data can change conclusions of a statistical analysis. The delivery was a masterclass on patient teaching of new and essential concepts that leaves us all with new insights and lines of research.
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Peter Grünwald e-values statistical testing methods AISTATS
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Peter Grünwald still an inspiration . We all need to go an lean about e-values and a better ways of doing statistical testing from this work. #AISTATS2023 https://
safestatistics.com -
Temporal Graph Neural Networks for Irregular Data
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Temporal graph neural nets for irregular data from @joel_oskarsson
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Positional Encoder for Graph Networks in Geographic Data
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Positional encoder for graph networks for geographic data. @kklmmr