Talks

  • [Oct 26, 2021] Priors in probabilistic numerics @ Dagstuhl Seminar on ‘Probabilistic Numerical Methods - From Theory to Implementation’. slides
  • [July 29, 2021] Bayesian Optimization @ Vilnius Machine Learning Workshop (Virtual). slides
  • [Oct 31, 2019] Bayesian Optimization for Global Optimization of Expensive Black-box Functions @ MLFL, UMass Amherst, MA.
  • [Jun 21, 2019] Human intelligence assisted robot learning @ RSS Pioneers 2019, University of Freiburg, Freiburg, Germany.
  • [Jun 19, 2019] Human intelligence assisted robot learning @ Machine Learning & Robotics Lab, University Stuttgart, Stuttgart, Germany.
  • [Jun 18, 2019] Human intelligence assisted robot learning @ Shift Technology, Paris, France.
  • [Oct 3, 2018] Active model learning and diverse action sampling for task and motion planning (spotlight) @ IROS 2018, Madrid, Spain.
  • [Sep 20, 2018] Active model learning and diverse action sampling for task and motion planning @ University of Washington, Seattle, WA. slides
  • [Sep 18, 2018] Regret bound of Bayesian optimization with unknown GP priors @ Microsoft Research AI Breakthroughs Workshop, Redmond, WA.
  • [Jul 3, 2018] Bayesian Optimization Guided by Max-values @ ISMP 2018, Bordeaux, France. slides
  • [Mar 9, 2018] Integrating model learning and TAMP @ LIS, MIT, Cambridge, MA. [slides available upon request]
  • [Nov 30, 2017] Bayesian Optimization and How to Scale It Up @ Computer Science Colloquium, University of Southern California, Los Angeles, CA. slides
  • [Aug 9, 2017] Max-value Entropy Search for Efficient Bayesian Optimization @ ICML 2017, Sydney, Australia. slides video
  • [Aug 7, 2017] Batched High-dimensional Bayesian Optimization via Structural Kernel Learning @ ICML 2017, Sydney, Australia. slides video
  • [Jun 20, 2017] (remote talk) Scaling up Bayesian Optimization with Ensembles @ DeepMind, London, UK. slides
  • [Jun 16, 2017] Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems @ Uber ATG, Pittsburgh, PA.
  • [Jun 7, 2017] Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems @ The Manipulation Lab, CMU Robotics Institute, Pittsburgh, PA.
  • [May 31, 2017] Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems @ ICRA 2017, Singapore. poster slides
  • [Apr 28, 2017] Challenges in Long-horizon Planning and How to Learn a “Few-shot” Precondition Generator @ LIS, MIT, Cambridge, MA.
  • [May 9, 2016] Optimization as Estimation with Gaussian Processes in Bandit Settings @ AISTATS 2016, Cadiz, Spain. slides
  • [May 2, 2016] Optimization as Estimation with Gaussian Processes in Bandit Settings @ Machine Learning Tea, MIT, Cambridge, MA.