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OptiML Lab Group Meetings

OptiML Lab (led by Prof. Chulhee Yun) holds a weekly seminar where each member presents a topic (paper, current research…etc) of his/her own interest. The seminar is called off only when it overlaps with some major conference or exam period.

  1. What I’ve been up to nowadays + What I’ll be doing in the future
  2. Bandits 101: A Maximally Non-technical Tutorial
  3. Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
  4. Introduction to Reinforcement Learning with Human Feedback (RLHF): A Theoretically Biased Overview
  5. Community Detection in Block Models: From SBMs to Block Markov Chains
  6. An Informal, Personal Presentation: My Experience at AISTATS 2023 & My Future Research Plan
  7. A Primer on (Combinatorial) Bandits
  8. Exact Dyanmics of Stochastic Gradient Descent in High Dimensions and Volterra (Integral) Equations
  9. Nearly Optimal Latent State Decoding in Block MDPs
  10. Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold