This page contains pointers to my most significant lectures.

All the slides are available under both the PDF and DjVu formats.

• The BackPropagation CookBook (NIPS Workshop 1996)
• Graph Transformer Networks (ICML Workshop 2001)
• DjVu: Scanned Documents on the Web (2000)
• Online Learning and Stochastic Approximations (MLSS Tuebingen 2003)
• The Tradeoffs of Large Scale Learning (NIPS Tutorial 2007)
• Stochastic Algorithms for One Pass Learning (NIPS Workshop 2011)
• Counterfactual Reasoning and Learning Systems (2012)
• Multilayer Networks [no longer old fashioned!] (2013)
• Perceptrons Revisited (AAAI Spring Symposium 2015)
• Two big Challenges in Machine Learning (ICML 2015)
• Learning Representation with Causal Invariance (ICLR 2019)
• The Fiction Machine (SIAM MDS 2024)