26 citations · 138 across the 23 of their papers we have counts for
31 papers
IDEA: Interpretable Dynamic Ensemble Architecture for Time Series Prediction
Mengyue Zha, Kani Chen, Tong Zhang
We enhance the accuracy and generalization of univariate time series point prediction by an explainable ensemble on the fly. We propose an Interpretable Dynamic Ensemble Architectu…
When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint
Yoav Freund, Yi-An Ma, Tong Zhang
There has been a surge of works bridging MCMC sampling and optimization, with a specific focus on translating non-asymptotic convergence guarantees for optimization problems into t…
Feel-Good Thompson Sampling for Contextual Bandits and Reinforcement Learning
Tong Zhang
Thompson Sampling has been widely used for contextual bandit problems due to the flexibility of its modeling power. However, a general theory for this class of methods in the frequ…
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks
Jieming Zhou, Tong Zhang, Pengfei Fang +2
Prior to the introduction of Graph Neural Networks (GNNs), modeling and analyzing irregular data, particularly graphs, was thought to be the Achilles' heel of deep learning. The co…
KECRS: Towards Knowledge-Enriched Conversational Recommendation System
Tong Zhang, Yong Liu, Peixiang Zhong +3
The chit-chat-based conversational recommendation systems (CRS) provide item recommendations to users through natural language interactions. To better understand user's intentions,…
Effective Sparsification of Neural Networks with Global Sparsity Constraint
Xiao Zhou, Weizhong Zhang, Hang Xu +1
Weight pruning is an effective technique to reduce the model size and inference time for deep neural networks in real-world deployments. However, since magnitudes and relative impo…