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Min-hwan Oh
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Year
Crowd counting with decomposed uncertainty
M Oh, PA Olsen, KN Ramamurthy
Proceedings of the AAAI Conference on Artificial Intelligence 34 (7), 11799 …, 2020
1112020
Sequential Anomaly Detection using Inverse Reinforcement Learning
M Oh, G Iyengar
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
852019
Efficient "shotgun" inference of neural connectivity from highly sub-sampled activity data
D Soudry, S Keshri, P Stinson, M Oh, G Iyengar, L Paninski
PLoS computational biology 11 (10), 2015
592015
Thompson Sampling for Multinomial Logit Contextual Bandits
M Oh, G Iyengar
Advances in Neural Information Processing Systems, 3145-3155, 2019
482019
Sparsity-Agnostic Lasso Bandit
M Oh, G Iyengar, A Zeevi
International Conference on Machine Learning, 8271-8280, 2021
442021
Graphical model for basketball match simulation
M Oh, S Keshri, G Iyengar
Proceddings of the 2015 MIT Sloan Sports Analytics Conference, Boston, MA …, 2015
412015
Learning graph topological features via GAN
W Liu, PY Chen, F Yu, T Suzumura, G Hu
IEEE Access 7, 21834-21843, 2019
34*2019
Multinomial logit contextual bandits: Provable optimality and practicality
M Oh, G Iyengar
Proceedings of the AAAI conference on artificial intelligence 35 (10), 9205-9213, 2021
25*2021
A shotgun sampling solution for the common input problem in neural connectivity inference
D Soudry, S Keshri, P Stinson, M Oh, G Iyengar, L Paninski
arXiv preprint arXiv:1309.3724, 2014
252014
Counting and segmenting sorghum heads
M Oh, P Olsen, KN Ramamurthy
arXiv preprint arXiv:1905.13291, 2019
182019
Adaptive pattern matching with reinforcement learning for dynamic graphs
H Kanezashi, T Suzumura, D Garcia-Gasulla, M Oh, S Matsuoka
2018 IEEE 25th International Conference on High Performance Computing (HiPC …, 2018
152018
Automatic event detection in basketball using hidden Markov models with energy based defensive assignment
S Keshri, M Oh, S Zhang, G Iyengar
Journal of Quantitative Analysis in Sports 15 (2), 141-153, 2019
92019
Directed exploration in PAC model-free reinforcement learning
M Oh, G Iyengar
International Conference on Machine Learning (ICML) Exploration in …, 2018
82018
Stochastic-expert variational autoencoder for collaborative filtering
YS Cho, M Oh
Proceedings of the ACM Web Conference 2022, 2482-2490, 2022
52022
Model-based Offline Reinforcement Learning with Count-based Conservatism
B Kim, M Oh
International Conference on Machine Learning, 16728--16746, 2023
32023
Model-based reinforcement learning with multinomial logistic function approximation
T Hwang, M Oh
Proceedings of the AAAI conference on artificial intelligence 37 (7), 7971-7979, 2023
32023
Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits
W Kim, MC Paik, M Oh
International Conference on Artificial Intelligence and Statistics, 3098-3124, 2023
32023
Personalized federated learning with server-side information
J Song, MH Oh, HS Kim
IEEE Access 10, 120245-120255, 2022
32022
Cascading Contextual Assortment Bandits
H Choi, R Udwani, M Oh
Advances in Neural Information Processing Systems 36, 2024
12024
Mixed-Effects Contextual Bandits
K Lee, MC Paik, M Oh, GS Kim
Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13409 …, 2024
2024
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Articles 1–20