Scott Sanner

Department of Mechanical & Industrial Engineering , University of Toronto , Canada; Vector Institute , Toronto , Canada.

12 papers in the IJCAI proceedings

IJCAI 2021

Bayesian Experience Reuse for Learning from Multiple Demonstrators

with Mike Gimelfarb, Chi-Guhn Lee

doi:10.24963/ijcai.2021/334

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Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions

with Jihwan Jeong, Parth Jaggi

doi:10.24963/ijcai.2021/562

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IJCAI 2018

Efficient Symbolic Integration for Probabilistic Inference

with Samuel Kolb, Martin Mladenov, Vaishak Belle, Kristian Kersting

doi:10.24963/ijcai.2018/698

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Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models

with Buser Say

doi:10.24963/ijcai.2018/669

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IJCAI 2017

Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming

with Buser Say, Ga Wu, Yu Qing Zhou

doi:10.24963/ijcai.2017/104

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IJCAI 2016

A Symbolic Closed-Form Solution to Sequential Market Making with Inventory

with Shamin Kinathil, Sanmay Das, Nicolás Della Penna

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Practical Linear Models for Large-Scale One-Class Collaborative Filtering

with Suvash Sedhain, Hung Hai Bui, Jaya Kawale, Nikos Vlassis, Branislav Kveton, Aditya Krishna Menon, Trung Bui

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IJCAI 2013

Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes

with Ehsan Abbasnejad, Edwin V. Bonilla, Pascal Poupart

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Robust Optimization for Hybrid MDPs with State-Dependent Noise

with Zahra Zamani, Karina Valdivia Delgado, Leliane Nunes de Barros

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IJCAI 2011

Multi-Evidence Lifted Message Passing, with Application to PageRank and the Kalman Filter

with Babak Ahmadi, Kristian Kersting

doi:10.5591/978-1-57735-516-8/IJCAI11-197

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IJCAI 2009

Bayesian Real-Time Dynamic Programming

with Robby Goetschalckx, Kurt Driessens, Guy Shani

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IJCAI 2005

Affine Algebraic Decision Diagrams (AADDs) and their Application to Structured Probabilistic Inference

with David A. McAllester

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