Papers

1. B.R. , et. al., "MASAGA: A Stochastic Algorithm for Manifold Optimization", ECML 2018. [pdf],[code]
2. L.I.,B.R. , et. al., "Domain Adaptation with Deep Metric Learning", ICML DAVU workshop, 2018. [pdf],[code]
3. L. N. ,B.R. , et. al., "Online variance-reducing optimization", ICLR 2018, Workshop Track. [pdf]
4. Z.Z., B.R. . , et. al., "A Generic Top-N Recommendation Framework For Trading-off Accuracy, Novelty, and Coverage", ICDE 2018. [pdf]
5. K. M., B.R., , et. al., "Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions.", UAI 2016. [pdf][Poster]
6. B. R. , et. al., "Stop Wasting My Gradients: Practical SVRG.", NIPS 2015. [pdf][Poster][Slides][code]
7. S. M., B. R. , et. al., "Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields", AISTATS 2015. [pdf][Poster][Slides][code]
8. W. E., B. R. , "Denormalization Middleware for Database-as-a-Service", SOCA 2013.
9. B. R. , et. al., "Process Pattern for Web Engineering", COMPSAC 2010.

Talks

1. "Convergence Rate for EM algorithm" in ISMP and WCOM, 2018. [Slide]
2. "Stop Wasting My Gradients: Practical SVRG" in ICCOP and WCOM, 2015. [Slide]