Transformer Models with Explainability for IT Telemetry and Business Events
- Shiau Hong Lim
- Laura Wynter
- 2024
- SSE 2024
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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19 results for Shiau Hong Lim
Distributional Reinforcement Learning for Risk-Sensitive Policies
- Shiau Hong Lim
- Ilyas Malik
- 2022
- NeurIPS 2022
Order Constraints in Optimal Transport
- Fabian Lim
- Laura Wynter
- et al.
- 2022
- ICML 2022
Robustness and Personalization in Federated Learning: A Unified Approach via Regularization
- Achintya Kundu
- Pengqian Yu
- et al.
- 2022
- EDGE 2022
Kernel-based reinforcement learning in Robust Markov decision processes
- Shiau Hong Lim
- Arnaud Autef
- 2019
- ICML 2019
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming
- Supriyo Ghosh
- Laura Wynter
- et al.
- 2022
- UAI 2022
Q2R: A Query-to-Resolution System for Natural-Language Queries
- Shiau Hong Lim
- Laura Wynter
- 2022
- NAACL 2022
Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning
- Desmond Cai
- Shiau Hong Lim
- et al.
- 2021
- CDC 2021
A Deep Ensemble Method for Multi-Agent Reinforcement Learning: A Case Study on Air Traffic Control
- SUPRIYO GHOSH
- Sean Laguna
- et al.
- 2021
- ICAPS 2021
Variational Bayesian Inference for Crowdsourcing Predictions
- Desmond Cai
- Duc Thien Nguyen
- et al.
- 2020
- CDC 2020