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All publications by Alex Smola
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Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
Yu-xiang Wang, Stephen Fienberg and Alex Smola
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods
Seth Flaxman, Andrew Wilson, Daniel Neill, Hannes Nickisch and Alex Smola
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


The Falling Factorial Basis and Its Statistical Applications
Yu-xiang Wang, Alex Smola and Ryan Tibshirani
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Randomized Nonlinear Component Analysis
David Lopez-paz, Suvrit Sra, Alex Smola, Zoubin Ghahramani and Bernhard Schoelkopf
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Randomized Nonlinear Component Analysis
David Lopez-paz, Suvrit Sra, Alex Smola, Zoubin Ghahramani and Bernhard Schoelkopf
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Variance Reduction for Stochastic Gradient Optimization
Chong Wang, Xi Chen, Alex Smola and Eric Xing
Advances in Neural Information Processing Systems 26, 2013