Warren Richard Morningstar

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

Top Topics

Latent Dirichlet Allocation

Learning Problems

Variational Inference

Supervised Learning

Top Venues

AAAI Spring Symposia

Publications

Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar
Federated Variational Inference: Towards Improved Personalization and Generalization. AAAI Spring Symposia (2024)
Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar
Federated Variational Inference: Towards Improved Personalization and Generalization. CoRR (2023)
Pengfei Guo, Warren Richard Morningstar, Raviteja Vemulapalli, Karan Singhal, Vishal M. Patel, Philip Andrew Mansfield
Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout. CoRR (2023)
Philip Andrew Mansfield, Arash Afkanpour, Warren Richard Morningstar, Karan Singhal
Random Field Augmentations for Self-Supervised Representation Learning. CoRR (2023)
Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon
Weighted Ensemble Self-Supervised Learning. ICLR (2023)
Honglin Yuan, Warren Richard Morningstar, Lin Ning, Karan Singhal
What Do We Mean by Generalization in Federated Learning? ICLR (2022)
Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets. CoRR (2022)