Only some presentations are listed here. Others not included are listed in my CV.

Selected Presentations

• Grey-Box Bayesian Optimization
  • University of California, Berkeley, September 2019
• Grey-Box Bayesian Optimization
  • University of California, Berkeley, September 2019
• Grey-Box Bayesian Optimization [Video]
  • AFOSR Optimization and Discrete Math Program Review, August 2019
• Grey-Box Bayesian Optimization for AutoML & More [Video]
  • ICML AutoML Workshop, June 2019
• Bayesian Optimization Tutorial [Video, Article]
  INFORMS Tutorials, Nov 2018
• Bayesian Optimization for Materials Design and Drug Discovery
  Michigan State University, Science on the Edge Seminar Series, Oct 2018
• Knowledge Gradient Methods for Bayesian Optimization
  • NIPS Bayesian Optimization Workshop, Dec 2017
• Knowledge Gradient Methods for Bayesian Optimization
  • NIPS Bayesian Optimization Workshop, Long Beach CA, December 2017.
• Incentivizing Exploration
  • MIT, OR Center, Feb 2016.
• Bayesian Multiple Target Localization
  • International Conference on Machine Learning, Lille France, July 2015.
• Parallel Bayesian Policies for Multiple Comparisons with a Known Standard
  • CORS/INFORMS International Conference, Montreal QC, June 2015.
• Parallel Bayesian Global Optimization of Expensive Functions, for Metrics Optimization at Yelp
  • Carnegie Mellon Machine Learning Department, Google Distinguished Lecture Series, Feb 2015.
• Optimal Learning for Scientific Discovery
  • INFORMS Computing Society Conference, Richmond VA, Jan 2015.
• Information Filtering for arXiv.org: A Markov Decision Process Analysis of the Cold Start Problem
  • INFORMS Computing Society Conference, Richmond VA, Jan 2015.
• Optimal Learning for Amino and Nucleic Acid Sequence Design
  • AFOSR Natural Materials Systems & Extremophilles Program Review, Fort Walton Beach FL, Dec 2014.
• Using Machine Learning and Optimization to Improve Yelp's Website
  • Cornell College of Engineering Webinar, Nov 2014.
• Optimal Learning for Molecular Discovery
  • Cornell Center for Applied Math, Oct 2014.
• Bayesian global optimization of expensive functions: exploiting noise with low-dimensional structure
  • MOPTA, Lehigh University, Aug 2014.
• Information Filtering for arXiv.org: Bandits, Exploration vs. Exploitation, and the Cold Start Problem
  • Mostly OM, Beijing, Jun 2014.
• Bayesian Methods for Global Optimization
  • Tsinghua University, Department of Industrial Engineering, Jun 2014.
• Optimal Learning: an Overview
  • Tsinghua University, Department of Industrial Engineering, Undergraduate Guest Lecture, Jun 2014.
• Optimal Learning for Discovering Minimal Peptide Substrates
  • Information Science for Materials Discovery and Design Workshop, Sante Fe, New Mexico, Feb 2014.
• Lancaster University, Centre for Doctoral Training in Statistics and Operational Research (STOR-i), Jan 2014.
  • Masterclass Day 1: Machine Learning for Optimization
  • Masterclass Day 2: Information Filtering for arXiv.org
  • Bayes-Optimal Methods for Optimization via Simulation: The Probabilistic Bisection Algorithm
  • Coding for Researchers
• Optimal Patient-specific Post-operative Surveillance for Vascular Surgeries
  • INFORMS Healthcare Conference, Chicago, IL, Jun 2013
• Simulation Optimization Workshop, Vina del Mar, Chile, Mar 2013.
  • Ranking and Selection With Tight Bounds on Probability of Correct Selection
• SIAM Computational Science and Engineering Conference, Boston MA, Feb 2013.
  • Simulation Calibration with Correlated Knowledge-Gradients
• INFORMS Computing Society Conference, Sante Fe NM, Jan 2013.
  • Bayes-optimal Policies for Multiple Comparisons with a Known Standard
• AFOSR Natural Materials Systems & Extremophilles Program Review, Washington DC, Jan 2013.
  • Optimal Learning for Efficient Sequential Experimental Design in Nano-Bio Research
• Winter Simulation Conference, Berlin, Dec 2012.
  • Tutorial: Optimization via Simulation with Bayesian Statistics and Dynamic Programming
  • Sequential Screening: A Bayesian Dynamic Programming Analysis
• INFORMS Annual Meeting, Phoenix AZ, Oct 2012.
  • Optimization of Computationally Expensive Simulations with Gaussian Processes and Parameter Uncertainty
  • Probabilistic Bisection Search for Stochastic Root-Finding
  • Bayesian Multi-armed Bandits in Recommender Systems
• MOPTA, Lehigh University, Bethlehem, PA, Aug 2012.
  • Parallel Global Optimization with Expensive Function Evaluations: A One-Step Bayes-Optimal Method
• Winter Simulation Conference, Phoenix AZ, Dec 2011.
  • Guessing Preferences: A New Approach to Multi-Attribute Ranking and Selection
• INFORMS Annual Meeting, Charlotte NC, Nov 2011.
  • Tutorial: Bayesian Methods for Global and Simulation Optimization
• Department of Energy, Joint Genome Institute, Jun 2011.
  • Optimizing Time-Consuming Objective Functions: Case Studies in Drug Development and Simulation Calibration
• INFORMS Healthcare Conference, Jun 2011.
  • Optimal Sequential Experimental Design for Stochastic Root-finding in Drug Development
• INFORMS, Austin TX, Nov 2010
  • A Minimally Conservative Indifference Zone Policy
  • Noise Tolerant Bayesian Bisection
  • Sequential Sampling for Selection: The Undiscounted Case
• Northwestern University, Department of Industrial Engineering and Management Sciences, October 2010
  • Bayesian Methods for Simulation Optimization
• Johns Hopkins University, Department of Applied Mathematics and Statistics, Feb 2010
  • Correlated Knowledge Gradients for Ranking and Selection of Many Alternatives
• Winter Simulation Conference, Austin TX, Dec 2009
  • The Conjunction of the Knowledge Gradient and the Economic Approach to Simulation Selection
• INFORMS, San Diego CA, Oct 2009
  • Structural Properties of the Value of Information in Single-Stage Ranking and Selection
• Applied Probability Society Conference, Ithaca NY, Jul 2009
  • Bayesian Sequential Sampling Policies and Sufficient Conditions for Convergence to a Global Optimum
• Symposium on Targeted Therapy for Childhood Cancer, Georgetown University Medical Center, Apr 2009
  • Knowledge-Gradient Methods in Drug Discovery for Ewing's Sarcoma (ppt)
• Winter Simulation Conference, Dec 2008
  • The Knowledge-Gradient Stopping Rule for Ranking and Selection
• INFORMS, October 2008
  • Optimal Learning INFORMS Tutorial (ppt)