Here are some talks I have given over the years.
- An introduction to (large) language models.
Columbia University guest lecture, 2024.
pdf
- A tale of two encoders for neural retrieval.
Microsoft Research India, 2024.
pdf
- Across the great divide: from ML theory to practice.
USyd guest lecture, 2021.
pdf
- One-class logistic regression & friends: probabilistic anomaly detection as loss minimisation.
Data61 ML seminar, 2018.
pdf
- Three faces of binary classification.
ANU ISML guest lecture, 2018.
pdf
- The hidden talents of logistic regression: from noisy labels to point processes.
RIKEN AIP, 2017.
pdf
- Learning from noisy binary labels: a tale of two approaches.
Amazon, 2016.
pdf
- Learning from corrupted binary labels via class-probability estimation.
NICTA ML seminar, 2015.
pdf
- Bipartite ranking: risk, optimality, and equivalences.
NICTA ML seminar, 2014.
pdf
- Latent feature models for dyadic prediction: beyond collaborative filtering and link prediction.
NICTA ML seminar, 2013.
pdf
- Learning to make predictions in graphs.
ID Analytics, 2012.
pdf
- Nash equilibria: complexity and computation.
USyd INFO4011 guest lecture, 2007.
pdf