463 citations · 5.1k across the 190 of their papers we have counts for
55 papers · 1 filter
Collaborative Anomaly Detection
Ke Bai, Aonan Zhang, Zhizhong Li +3
In recommendation systems, items are likely to be exposed to various users and we would like to learn about the familiarity of a new user with an existing item. This can be formula…
Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping
Junya Chen, Sijia Wang, Lawrence Carin +1
Distributed learning has become an integral tool for scaling up machine learning and addressing the growing need for data privacy. Although more robust to the network topology, dec…
Variational Inference with Holder Bounds
Junya Chen, Danni Lu, Zidi Xiu +3
The recent introduction of thermodynamic integration techniques has provided a new framework for understanding and improving variational inference (VI). In this work, we present a…
Hölder Bounds for Sensitivity Analysis in Causal Reasoning
Serge Assaad, Shuxi Zeng, Henry Pfister +2
We examine interval estimation of the effect of a treatment T on an outcome Y given the existence of an unobserved confounder U. Using Hölder's inequality, we derive a set of bound…
Gradient Importance Learning for Incomplete Observations
Qitong Gao, Dong Wang, Joshua D. Amason +6
Though recent works have developed methods that can generate estimates (or imputations) of the missing entries in a dataset to facilitate downstream analysis, most depend on assump…
Efficient Feature Transformations for Discriminative and Generative Continual Learning
Vinay Kumar Verma, Kevin J Liang, Nikhil Mehta +2
As neural networks are increasingly being applied to real-world applications, mechanisms to address distributional shift and sequential task learning without forgetting are critica…