Conference on Data Science and Optimization
The Fields Institute 222 College Street, Toronto, Ontario, CanadaMachine Learning in Medicine Symposium
Peter Gilgan Centre for Research and Learning 686 Bay St, Toronto, Ontario, CanadaLearning Objectives Identify the potential role of machine learning in medicine Recognize the difference between machine learning, neural networks, and deep learning Critically evaluate proposed new machine learning tools as it applies to imaging, pathology, pediatrics, brain science and mental health Target Audience Internal Medicine Specialists Laboratory Medicine and Pathology Specialists Medical Imaging Specialists Psychiatry […]
Conference on Optimization
The Fields Institute 222 College Street, Toronto, Ontario, CanadaFuture Digileaders Workshop (Stockholm)
Future Digileaders is an event for selected early career female researchers interested in the broad area of digitalization technology. The event is a part of the Digitalization days -- a three-day workshop discussing the next wave of digitalization for our sustainable future held on November 25-27, 2019 in Stockholm, Sweden. Day 1 offers the Digileaders […]
OR Seminar: Placement Optimization in Refugee Resettlement
Mechanical Engineering 5 King's College Rd, Toronto, Ontario, CanadaAndrew C. Trapp (Worcester Polytechnic Institute) Abstract: Tens of thousands of refugees are resettled yearly from refugee camps to host countries. Local areas that host refugees are reluctant to open capacity, and most impose tight restrictions on the refugee family types they accept. We model this matching challenge as a 0-1 knapsack variant and explore […]
DiDi Lecture: AI for the Marketplace with Applications to Ride-Sharing
Bahen Centre 40 St George St, Toronto, Ontario, CanadaAbstract In this talk, we will introduce a general analytical framework for large scale data obtained from two-sided markets, especially ride-sharing platforms like DiDi. This framework integrates classical methods including Experiment Design, Causal Inference and Reinforcement Learning, with modern machine learning methods, such as Graph Convolutional Models, Deep Learning, Transfer Learning and Generative Adversarial Network. […]
Seminar: Smart “Predict, then Optimize”
Bahen Centre 40 St George St, Toronto, Ontario, CanadaAdam Elmachtoub, Columbia University Many real-world analytics problems involve two significant challenges: prediction and optimization. Due to the typically complex nature of each challenge, the standard paradigm is predict-then-optimize. By and large, machine learning tools are intended to minimize prediction error and do not account for how the predictions will be used in the downstream […]
Colloquium: Bodies. Deep Learning
Koffler Student Services Centre 214 College Street, Toronto, Ontario, CanadaDeep learning is a term that WEIRDLY connects the praxis of experiential learning and practices of machine learning while AI, artificial intelligence, and A/I artistic intelligence, are also conceptual aspects of interest for our discussion. Location: Robert Gill Theatre Lobby, Koffler Student Services Centre - 3rd floor
Rotman Health IT Session 2 – Artificial Intelligence and Healthcare – Are we there yet?
Desautels Hall 105 St George Street, Toronto, CanadaSpeaker(s): Dr. Trevor Jamieson, Medical Director of IT Implementation and Innovation at St. Michael`s Hospital and Lead, Virtual Care, at WIHV, Dept of Medicine, University of Toronto Dr. Chris O'Connor, President, Think Research Dr. Heather Ross, Loretta A. Rogers Chair in Heart Function, Peter Munk Cardiac Centre, UHN Joby McKenzie, Managing Director (Canada), Babylon
Workshop on Smart Cities Optimization
The Fields Institute 222 College Street, Toronto, Ontario, CanadaCities are growing and their problems are becoming more complex and difficult to address. As cities continue to face challenges due to accelerated urbanization, recent innovations and disruptions in information technology are changing the way we live and interact with our environment. Innovations in data analytics are promising solutions to alleviate pressure on urban networks. […]
PsychEng Seminar: Analysis of designer performance and emotion in collaborative and traditional computer-aided design
Bahen Centre 40 St George St, Toronto, Ontario, CanadaProf. Alison Olechowski, Dept. of Mechanical and Industrial Engineering, U of T Room: BA2135
OR Seminar: Derivative-Free Nonconvex Stochastic Optimization with Application to an Energy Storage Problem
Bahen Centre 40 St George St, Toronto, Ontario, CanadaSpeaker: Saeed Ghadimi, Princeton University Abstract In this talk, we propose and analyze derivative-free stochastic approximation algorithms for nonconvex optimization. We first propose generalization of the conditional gradient algorithm achieving a similar rate to the standard stochastic gradient algorithm (SGD) using only noisy function evaluations (zeroth-order information). For the high-dimensional setting, we explore the advantage […]