Thursday, May 28, 2026

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2026-05-28 / 16:00 ~ 17:00
학과 세미나/콜로퀴엄 - 해외 석학 특별 강연 시리즈: 인쇄
by ()
The celebrated theorem of Komlos (1967) establishes L^1-boundedness as a sufficient condition for a sequence of measurable functions on a probability space to contain a subsequence along which, and along whose every further subsequence (“hereditarily”), the Cesaro averages converge to a “randomized mean” in the spirit of the Strong law of Large Numbers. We provide conditions not only sufficient, but also necessary, for this result, as well as for the hereditary analogues of the Weak Law of Large Numbers, of the Hsu-Robbins-Erdos Law of Large Numbers, and of the Law of the Iterated Logarithm. Joint work with I. Berkes (Budapest) and W. Schachermayer (Vienna).
2026-06-01 / 16:30 ~ 17:30
학과 세미나/콜로퀴엄 - 박사논문심사: 인쇄
by 김현수(KAIST 수리과학과)

2026-05-29 / 11:00 ~ 12:30
학과 세미나/콜로퀴엄 - 박사논문심사: 인쇄
by 이재원(KAIST 수리과학과)

2026-05-29 / 16:00 ~ 18:00
MFRS 세미나 - MFRS 세미나: 인쇄
by 장원(서울대학교 수리과학부)

2026-06-04 / 16:15 ~ 17:15
학과 세미나/콜로퀴엄 - 콜로퀴엄: 인쇄
by 김일문(KAIST 수리과학과)
This talk presents recent progress in differentially private hypothesis testing, focusing on the interplay between privacy, validity, and statistical efficiency. I will discuss a framework for private permutation testing that preserves finite-sample validity and extends naturally to kernel-based procedures. These ideas yield private testing methods with strong theoretical guarantees, including optimality properties in several regimes. I will then turn to minimax results for two-sample testing under central differential privacy, which reveal a rich structure in the privacy–power trade-off. The overall message is that rigorous privacy protection can be incorporated into modern hypothesis testing without sacrificing principled statistical guarantees.
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