I work on machine learning, and I'm particularly interested in nonparametric methods, i.e. methods that can be understood as optimizing some objective over an infinite dimensional search space.

Please visit my personal webpage for more info.

7 results
(BibTeX)

**Hierarchical Label Queries with Data-Dependent Partitions**
In *Proceedings of the 28th Conference on Learning Theory*, 40, pages: 1176-1189, (Editors: Grünwald, P. and Hazan, E. and Kale, S. ), JMLR, COLT, 2015 (inproceedings)

**Consistency of Causal Inference under the Additive Noise Model**
In *Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1)*, pages: 478-495, (Editors: Eric P. Xing and Tony Jebara), JMLR, ICML, 2014 (inproceedings)

**Adaptivity to Local Smoothness and Dimension in Kernel Regression**
In *Advances in Neural Information Processing Systems 26*, pages: 3075-3083, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Regression-tree Tuning in a Streaming Setting**
In *Advances in Neural Information Processing Systems 26*, pages: 1788-1796, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Gradient Weights help Nonparametric Regressors**
In *Advances in Neural Information Processing Systems 25*, pages: 2870-2878, (Editors: P Bartlett and FCN Pereira and CJC. Burges and L Bottou and KQ Weinberger), 26th Annual Conference on Neural Information Processing Systems (NIPS), 2012 (inproceedings)

**Pruning nearest neighbor cluster trees**
In pages: 225-232, (Editors: Getoor, L. , T. Scheffer), International Machine Learning Society, Madison, WI, USA, 28th International Conference on Machine Learning (ICML), July 2011 (inproceedings)

**k-NN Regression Adapts to Local Intrinsic Dimension**
In *Advances in Neural Information Processing Systems 24*, pages: 729-737, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

I work on machine learning, and I'm particularly interested in nonparametric methods, i.e. methods that can be understood as optimizing some objective over an infinite dimensional search space.

Please visit my personal webpage for more info.