research
∙
11/19/2021
Towards Return Parity in Markov Decision Processes
Algorithmic decisions made by machine learning models in high-stakes dom...
share
research
∙
11/16/2021
On Effective Scheduling of Model-based Reinforcement Learning
Model-based reinforcement learning has attracted wide attention due to i...
research
∙
11/03/2021
Curriculum Offline Imitation Learning
Offline reinforcement learning (RL) tasks require the agent to learn fro...
research
∙
08/16/2021
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction
Diabetes prediction is an important data science application in the soci...
research
∙
05/13/2021
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
In Goal-oriented Reinforcement learning, relabeling the raw goals in pas...
research
∙
12/09/2020
Improving Knowledge Tracing via Pre-training Question Embeddings
Knowledge tracing (KT) defines the task of predicting whether students c...
research
∙
10/19/2020
Model-based Policy Optimization with Unsupervised Model Adaptation
Model-based reinforcement learning methods learn a dynamics model with r...
research
∙
09/13/2020
GIKT: A Graph-based Interaction Model for Knowledge Tracing
With the rapid development in online education, knowledge tracing (KT) h...
research
∙
07/04/2020
Bidirectional Model-based Policy Optimization
Model-based reinforcement learning approaches leverage a forward dynamic...
research
∙
03/14/2020
Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency
Recent advances in large-scale optimal transport have greatly extended i...
research
∙
11/21/2019
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck
Domain adaptation aims to leverage the supervision signal of source doma...
research
∙
04/02/2019
Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs
Lipschitz continuity recently becomes popular in generative adversarial ...
research
∙
04/24/2018
Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition
We study the problem of named entity recognition (NER) from electronic m...
research
∙
07/05/2017
