More from the Same Authors

• 2021 : ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets »
  Weijie Sun · Sunil Vasu Kalmady · Amir Salimi · Russell Greiner · Padma Kaul
• 2022 : Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale »
  Weijie Sun · Sunil Vasu Kalmady · Nariman Sepehrvand · Luan Chu · Zihan Wang · Amir Salimi · Abram Hindle · Russell Greiner · Padma Kaul
• 2020 Poster: Shared Space Transfer Learning for analyzing multi-site fMRI data »
  Tony Muhammad Yousefnezhad · Alessandro Selvitella · Daoqiang Zhang · Andrew Greenshaw · Russell Greiner
• 2019 Poster: Surrogate Objectives for Batch Policy Optimization in One-step Decision Making »
  Minmin Chen · Ramki Gummadi · Chris Harris · Dale Schuurmans
• 2019 Poster: Learning Macroscopic Brain Connectomes via Group-Sparse Factorization »
  Farzane Aminmansour · Andrew Patterson · Lei Le · Yisu Peng · Daniel Mitchell · Franco Pestilli · Cesar F Caiafa · Russell Greiner · Martha White
• 2017 : Poster session »
  Abbas Zaidi · Christoph Kurz · David Heckerman · YiJyun Lin · Stefan Riezler · Ilya Shpitser · Songbai Yan · Olivier Goudet · Yash Deshpande · Judea Pearl · Jovana Mitrovic · Brian Vegetabile · Tae Hwy Lee · Karen Sachs · Karthika Mohan · Reagan Rose · Julius Ramakers · Negar Hassanpour · Pierre Baldi · Razieh Nabi · Noah Hammarlund · Eli Sherman · Carolin Lawrence · Fattaneh Jabbari · Vira Semenova · Maria Dimakopoulou · Pratik Gajane · Russell Greiner · Ilias Zadik · Alexander Blocker · Hao Xu · Tal EL HAY · Tony Jebara · Benoit Rostykus
• 2016 Poster: Deep Learning Games »
  Dale Schuurmans · Martin A Zinkevich
• 2016 Poster: Reward Augmented Maximum Likelihood for Neural Structured Prediction »
  Mohammad Norouzi · Samy Bengio · zhifeng Chen · Navdeep Jaitly · Mike Schuster · Yonghui Wu · Dale Schuurmans
• 2015 Poster: Embedding Inference for Structured Multilabel Prediction »
  Farzaneh Mirzazadeh · Siamak Ravanbakhsh · Nan Ding · Dale Schuurmans
• 2014 Workshop: Representation and Learning Methods for Complex Outputs »
  Richard Zemel · Dale Schuurmans · Kilian Q Weinberger · Yuhong Guo · Jia Deng · Francesco Dinuzzo · Hal Daumé III · Honglak Lee · Noah A Smith · Richard Sutton · Jiaqian YU · Vitaly Kuznetsov · Luke Vilnis · Hanchen Xiong · Calvin Murdock · Thomas Unterthiner · Jean-Francis Roy · Martin Renqiang Min · Hichem SAHBI · Fabio Massimo Zanzotto
• 2014 Poster: Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning »
  Mohsen Ravanbakhsh · Reihaneh Rabbany · Russell Greiner
• 2014 Poster: Convex Deep Learning via Normalized Kernels »
  Özlem Aslan · Xinhua Zhang · Dale Schuurmans
• 2013 Workshop: Output Representation Learning »
  Yuhong Guo · Dale Schuurmans · Richard Zemel · Samy Bengio · Yoshua Bengio · Li Deng · Dan Roth · Kilian Q Weinberger · Jason Weston · Kihyuk Sohn · Florent Perronnin · Gabriel Synnaeve · Pablo R Strasser · julien audiffren · Carlo Ciliberto · Dan Goldwasser
• 2013 Poster: Direct 0-1 Loss Minimization and Margin Maximization with Boosting »
  Shaodan Zhai · Tian Xia · Ming Tan · Shaojun Wang
• 2013 Poster: Online Learning with Costly Features and Labels »
  Navid Zolghadr · Gábor Bartók · Russell Greiner · András György · Csaba Szepesvari
• 2013 Poster: Convex Two-Layer Modeling »
  Özlem Aslan · Hao Cheng · Xinhua Zhang · Dale Schuurmans
• 2013 Spotlight: Convex Two-Layer Modeling »
  Özlem Aslan · Hao Cheng · Xinhua Zhang · Dale Schuurmans
• 2013 Poster: Polar Operators for Structured Sparse Estimation »
  Xinhua Zhang · Yao-Liang Yu · Dale Schuurmans
• 2012 Poster: Convex Multi-view Subspace Learning »
  Martha White · Yao-Liang Yu · Xinhua Zhang · Dale Schuurmans
• 2012 Poster: Accelerated Training for Matrix-norm Regularization: A Boosting Approach »
  Xinhua Zhang · Yao-Liang Yu · Dale Schuurmans
• 2012 Poster: A Polynomial-time Form of Robust Regression »
  Yao-Liang Yu · Özlem Aslan · Dale Schuurmans
• 2011 Poster: Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors »
  Chun-Nam Yu · Russell Greiner · Hsiu-Chin Lin · Vickie Baracos
• 2010 Poster: Relaxed Clipping: A Global Training Method for Robust Regression and Classification »
  Yao-Liang Yu · Min Yang · Linli Xu · Martha White · Dale Schuurmans
• 2009 Poster: Convex Relaxation of Mixture Regression with Efficient Algorithms »
  Novi Quadrianto · Tiberio Caetano · John Lim · Dale Schuurmans
• 2009 Poster: A General Projection Property for Distribution Families »
  Yao-Liang Yu · Yuxi Li · Dale Schuurmans · Csaba Szepesvari
• 2009 Poster: A Rate Distortion Approach for Semi-Supervised Conditional Random Fields »
  Yang Wang · Gholamreza Haffari · Shaojun Wang · Greg Mori
• 2007 Spotlight: Stable Dual Dynamic Programming »
  Tao Wang · Daniel Lizotte · Michael Bowling · Dale Schuurmans
• 2007 Poster: Stable Dual Dynamic Programming »
  Tao Wang · Daniel Lizotte · Michael Bowling · Dale Schuurmans
• 2007 Session: Spotlights »
  Dale Schuurmans
• 2007 Poster: Convex Relaxations of EM »
  Yuhong Guo · Dale Schuurmans
• 2007 Poster: Discriminative Batch Mode Active Learning »
  Yuhong Guo · Dale Schuurmans
• 2006 Poster: implicit Online Learning with Kernels »
  Li Cheng · Vishwanathan S V N · Dale Schuurmans · Shaojun Wang · Terry Caelli