Month: October 2023

The 26th KMGS will be held on November 2nd, Thursday, at Natural Science Building (E6-1) Room 1501.
We invite a speaker Minseong Kwon from the Dept. of Mathematical Sciences, KAIST.
The abstract of the talk is as follows.

Slot (AM 11:50~PM 12:30)
[Speaker] 권민성 (Minseong Kwon) from Dept. of Mathematical Sciences, KAIST, supervised by Prof. 황준묵 교수님 (Jun-Muk Hwang)
[Title] Complex Geometry Arising from Quaternionic Kähler Manifolds
[Discipline] Complex Geometry
[Abstract]
In this talk, I will introduce twistor theory, which connects complex geometry, Riemannian geometry, and algebraic geometry by producing a complex manifold, called the twistor space, from a quaternionic Kähler manifold. First, I will explain why quaternionic Kähler manifolds have to be studied in view of holonomy theory in Riemannian geometry, and how twistor theory enables us to use algebraic geometry in studying their geometry. Next, based on the realization of homogeneous twistor spaces as adjoint varieties, I will present a description of the compactified spaces of conics in adjoint varieties, which is motivated by twistor theory.
[Language] Korean

The 25th KMGS will be held on October 5th, Thursday, at Natural Science Building (E6-1) Room 1501.
We invite a speaker Yeongjong Kim from the Dept. of Mathematical Sciences, KAIST.
The abstract of the talk is as follows.

Slot (AM 11:50~PM 12:30)
[Speaker] 김영종 (Yeongjong Kim) from Dept. of Mathematical Sciences, KAIST, supervised by Prof. 백상훈 교수님 (Sanghoon Baek)
[Title] Online Learning in Markov Settings
[Discipline] Optimization
[Abstract]
In this talk, I will explain the setting of online convex optimization and the definition of regret and constraint violation. I then will introduce various algorithms and their theoretical guarantees under various assumptions. The connection with some topics in machine learning such as stochastic gradient descent, multi-armed bandit, and reinforcement learning will also be briefly discussed.
[Language] Korean