( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server.

, , , , , , и . CoRR, (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Balaji Samikannu

Kamatchi Lakshminarayanan

Hari Balaji

Balaji Birajdar

Balaji Palanisamy

 

Другие публикации лиц с тем же именем

Learning Deep Nearest Neighbor Representations Using Differentiable Boundary Trees, , и . (2017)cite arxiv:1702.08833.AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty., , , , , и . CoRR, (2019)Top-down particle filtering for Bayesian decision trees., , и . ICML (3), том 28 из JMLR Workshop and Conference Proceedings, стр. 280-288. JMLR.org, (2013)Mondrian Forests for Large-Scale Regression when Uncertainty Matters., , и . AISTATS, том 51 из JMLR Workshop and Conference Proceedings, стр. 1478-1487. JMLR.org, (2016)Inference in Supervised latent Dirichlet allocation., и . MLSP, стр. 1-6. IEEE, (2011)Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play., , , , , и . ICLR, OpenReview.net, (2023)Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning., , , , , , , , , и 14 other автор(ы). CoRR, (2021)Hybrid Models with Deep and Invertible Features., , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 4723-4732. PMLR, (2019)Particle Gibbs for Bayesian Additive Regression Trees., , и . AISTATS, том 38 из JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Improving Zero-shot Generalization and Robustness of Multi-Modal Models., , , , , , , , и . CVPR, стр. 11093-11101. IEEE, (2023)