Scholar
Christian Walder
Google Scholar ID: ugH_Wg4AAAAJ
Google DeepMind
Citations & Impact
Citations
998
H-index
13
i10-index
19
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Published several papers, such as 'Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems', '3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes', etc.
Research Experience
- Research Scientist at Google DeepMind since July 2022, focusing on the Machine Learning for Code team; Activity Leader and Senior Researcher at NICTA (subsequently CSIRO Data61) and the Australian National University from January 2015 to July 2022, involved in academic research, industrial work supervision, and postgraduate teaching; Quantitative Analyst at Man Group AHL from January 2011 to January 2015, analyzing and improving forecasting models and trade sizing optimization techniques, and researching and implementing highly novel short-term equities strategies; Postdoctoral Researcher at Technical University of Denmark from January 2008 to January 2010, developing state-of-the-art probabilistic semi-supervised learning algorithms; Postdoctoral Researcher at Max Planck Institute for Biological Cybernetics from June 2007 to January 2008, collaborating on data visualization, efficient machine learning approaches to facial capture, and theoretical contributions to kernel methods; Research Technologist at Telstra Research Laboratories from January 2001 to January 2002, implementing and analyzing statistical credit risk models and developing natural language processing algorithms.
Education
- PhD in Machine Learning, 2007 from Max Planck Institute / University of Queensland; BE (elec) hons. 1, 2001 from University of Queensland.
Background
- Interests include theorem proving, Bayesian machine learning, point processes, kernels and Gaussian processes, recommender systems, reinforcement learning, and machine learning for symbolic music.
Co-authors