Statistics
Jinbo Bi
Professor/Computing
jinbo.bi@uconn.edu
Storrs Mansfield
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Scholarly Contributions
18 Scholarly Contributions
Latent Orthonormal Contrastive Learning in Disaster Damage Assessment Using Paired Remote Sensing Imagery
Research Type: Conference Proceedings
Adversarial Perturbations on Graph Sparsification for Graph Machine Learning
Research Type: Conference Proceedings
Top-down Indoor Localization with Wi-Fi Fingerprints using Deep Q-network
Research Type: Conference Proceedings
Auto-encoding goodness-of-fit
Research Type: Conference Proceedings
Training Generative Autoencoders Using Differentiable Hypothesis Test Statistics
Research Type: Conference Proceedings
Calibrating the learning rate for adaptive gradient methods to improve generalization performance
Research Type: Conference Proceedings
Escaping saddle points with stochastically controlled stochastic gradient methods
Research Type: Conference Proceedings
Against Membership Inference Attack: Pruning is All You Need
Research Type: Conference Proceedings
Stochastically controlled stochastic gradient methods for nonconvex sparse learning
Research Type: Conference Proceedings
Generative Clustering via Kolmogorov Coupled Nets
Research Type: Conference Proceedings
Indoor Positioning On-Device: A Federated Reinforcement Learning Approach with Heterogeneous Devices
Research Type: Journal Article
Calibrating the Adaptive Learning Rate to Improve Convergence of ADAM
Research Type: Journal Article
Scalable Proximity Preserving Metric Learning with Low Rank PSD Matrices via AdaBoost
Research Type: Journal Article
A Benchmark on Indexing Algorithms for Accelerating Molecular Similarity Search
Research Type: Journal Article
Sparse bilinear modeling of auxiliary features for matrix completion
Research Type: Journal Article
Machine Learning Analysis of Aggregated Cocaine Treatment Studies to Understand the Efficacy of Modafinil
Research Type: Journal Article
Hybrid-DCA: a double asynchronous approach for stochastic dual coordinate ascent
Research Type: Journal Article
Asynchronous Parallel Stochastic Quasi-Newton Method
Research Type: Journal Article