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titleconferencedate
Fireside ChatUnknown Futures of Generalization 20242024-12-02
Career arc and concrete contributions cover a decades-long mix of theory and applied work: a Science paper that resolves Berkeley grad admissions / Simpson's…
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An overview of classical robust statistics and generalizations to the futureModern Paradigms in Generalization Boot Camp 20242024-08-27
Huber theory is presented with precise claims: Huber loss is minimax-optimal for asymptotic variance under Huber ε‑contamination (γ is tuned to ε), the…
Talk on
Scale Calibration for High-Dimensional Robust RegressionRobust and High-Dimensional Statistics (Simons Institute workshop, 2018)2018-10-29
Proposes a practical pipeline that recovers sparse high-dimensional regression under heavy tails without knowing error scale: convex Huber+L1 initialization…
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