Talks

2017

• Aug 11 - Privacy-preserving entity resolution and logistic regression on encrypted data at ICML, Sydney. [slides]
• Jul 23 - Making deep neural networks robust to label noise: a loss correction approach at CVPR, Honolulu. [] [slides]
• Jul 6 - Making deep neural networks robust to label noise: a loss correction approach at Dat61 CSIRO, Sydney.

2016

• Aug 4 - Weakly supervised learning via statistical sufficiency at ANU/Data61, Canberra. [slides]
• Jun 20 - Loss factorization, weakly supervised learning and label noise robustness at ICML, New York. [video] [slides]

2015

• Nov 19 - Loss factorization and learning from label proportions at Columbia University, New York.
• Nov 11 - Loss factorization and learning from label proportions at Telecom Paris-Tech, Paris.
• Sep 22 - Learning from aggregates at INRIA Parietal Neurospin, Paris.
• Aug 26 - Learning from aggregates at TU Dortmund, Dortmund. [slides]
• Jul 7 - Rademacher observations, private data and boosting at ICML, Lille. [video] [slides]
• Jun 24 - Learning from aggregates at TU Delft, Delft.
• Jun 8 - Learning from aggregates at Ecole Polytechnique, Paris.

2014

• Dec 12 - (Almost) no label no cry at NIPS, Montreal. Spotlight. [slides]
• Aug 28 - Internship final at Commonwealth Bank of Australia, Sydney.
• Jul 10 - (Almost) no label no cry at NICTA, Sydney.
• Feb 27 - Weakly supervised learning and interpretability at Commonwealth Bank of Australia, Sydney.
• Dec 3 - Propensity score matching at NICTA, Sydney.

2013

• Nov 21 - Propensity score matching at Commonwealth Bank of Australia, Sydney.
• Mar 21 - Weakly supervised learning and interpretability at NICTA, Kioloa (Australia).