Publications.

Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits
Wonyoung Kim, Min-hwan Oh, Myunghee Cho Paik
Under review


Stochastic-Expert Variational Autoencoder for Collaborative Filtering
Yoon-Sik Cho, Min-hwan Oh
The ACM Web Conference (WWW), 2022


Sparsity-Agnostic Lasso Bandit
Min-hwan Oh, Garud Iyengar, Assaf Zeevi
International Conference on Machine Learning (ICML), 2021
INFORMS Applied Probability Society Student Paper Award Finalist


Multinomial Logit Contextual Bandits: Provable Optimality and Practicality
Min-hwan Oh, Garud Iyengar
AAAI Conference on Artificial Intelligence (AAAI), 2021


Crowd Counting with Decomposed Uncertainty
Min-hwan Oh, Peder A. Olsen, Karthikeyan N. Ramamurthy
AAAI Conference on Artificial Intelligence (AAAI), 2020


Thompson Sampling for Multinomial Logit Contextual Bandits
Min-hwan Oh, Garud Iyengar
Neural Information Processing Systems (NeurIPS), 2019


Sequential Anomaly Detection using Inverse Reinforcement Learning
Min-hwan Oh, Garud Iyengar
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2019
Oral presentation in research paper track (top 9% of total submissions)


Automatic Event Detection in Basketball using Hidden Markov Models with Energy based Defensive Assignment
Suraj Keshri, Min-hwan Oh, Sheng Zhang, Garud Iyengar
Journal of Quantitative Analysis in Sports. 15.2: 141-153. 2019


Learning Graph Topological Features via GAN
Weiyi Liu, Hal Cooper, Min-Hwan Oh, Pin-Yu Chen, Sailung Yeung, Fucai Yu, Toyotaro Suzumura, Guangmin Hu
IEEE Access, 2019
Preliminary version appeared at Workshop on Implicit Models, International Conference on Machine Learning (ICML), 2017


Adaptive Pattern Matching with Reinforcement Learning for Dynamic Graphs
Hiroki Kanezashi, Toyotaro Suzumura, Dario Garcia-Gasulla, Min-hwan Oh, Satoshi Matsuoka
IEEE International Conference on High Performance Computing, Data, and Analytics, 2018
Best Paper Award Winner


Efficient “Shotgun” Inference of Neural Connectivity from Highly Sub-sampled Activity Data
Daniel Soudry, Suraj Keshri, Patrick Stinson, Min-hwan Oh, Garud Iyengar, Liam Paninski
PLoS Computational Biology, 11 (10), 2015


Graphical Model for Basketball Match Simulation
Min-hwan Oh, Suraj Keshri, Garud Iyengar
MIT Sloan Sports Analytics Conference, 2015
Finalist in Research Paper Competition (top 2% of total submissions)