I am postdoc in machine learning at the Courant Institute of NYU, in the lab of Yann LeCun, focusing on learning from temporal sequences. I will shortly be joining DeepMind Inc. in London.
My research interests include (modular) reinforcement learning, stochastic (black-box) optimization with minimal hyperparameter tuning, and (deep/recurrent) neural networks. I use these techniques in application domains ranging from computer vision and neural decoding to games and robotics.
I grew up in Luxembourg and studied computer science in Switzerland (with exchanges at Waterloo and Columbia), where I obtained an MSc from the EPFL in 2005. I hold a PhD from TU Munich (2011), which I did under the supervision of Jürgen Schmidhuber at the Swiss AI Lab IDSIA.
ICML 2013 | T. Schaul, S. Zhang, Y. LeCun. No more Pesky Learning Rates. International Conference on Machine Learning. [Pdf] [Supplementary material] [Code] [BibTeX] |
IJCAI 2013 | T. Schaul, M. Ring. Better Generalization with Forecasts. International Joint Conference on Artificial Intelligence. [Pdf] [Slides] [BibTeX] |
ICLR 2013 | T. Schaul, Y. LeCun. Adaptive Learning Rates and Parallelization for Stochastic, Sparse, Non-smooth Gradients. International Conference on Learning Representations. [Pdf] [Code] [Public reviews] [BibTeX] |
CIG 2013 | T. Schaul. A Video Game Description Language for Model-based or Interactive Learning. IEEE Conference on Computational Intelligence in Games. [Pdf] [Code] [BibTeX] |
GECCO 2012 | T. Schaul. Natural Evolution Strategies Converge on Sphere Functions. Genetic and Evolutionary Computation Conference. [Pdf] [BibTeX] |
IJCAI 2011 | M. Ring, T. Schaul. Q-error as a Selection Mechanism in Modular Reinforcement-Learning Systems. International Joint Conference on Artificial Intelligence. [Pdf] [BibTeX] |
JMLR 2010 | T. Schaul, J. Bayer, D. Wierstra, Y. Sun, M. Felder, F. Sehnke, T. Rückstieß, J. Schmidhuber. PyBrain. Journal of Machine Learning Research. [Pdf] [BibTeX] |
ICML 2009 | Y. Sun, D. Wierstra, T. Schaul, J. Schmidhuber. Stochastic Search using the Natural Gradient. International Conference on Machine Learning. [Pdf] [BibTeX] |