World's Best Scientists 2026 revealed!
Dale Schuurmans

Dale Schuurmans

Award Badge
Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
60
Citations
13256
World Ranking
3263
National Ranking
128

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2017 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to machine learning, including foundational methods for model selection, on-line learning, unsupervised learning and sequential decision making.

Overview

Dale Schuurmans is affiliated with the University of Alberta in Canada. Their primary field of study is Computer Science, with a significant focus on Artificial Intelligence, reflected by 107 publications in this subfield out of 128 total. Additional research areas include Management Science and Operations Research, Computer Vision and Pattern Recognition, Statistics and Probability, and Computer Networks and Communications.

Their research encompasses diverse topics such as Reinforcement Learning in Robotics, Topic Modeling, Natural Language Processing Techniques, Advanced Bandit Algorithms Research, Domain Adaptation and Few-Shot Learning, Stochastic Gradient Optimization Techniques, and Advanced Graph Neural Networks.

Schuurmans has contributed to numerous publications, mostly appearing in the venue arXiv (Cornell University), with 80 papers published there. Other publication venues include the Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining and the Proceedings of the AAAI Conference on Artificial Intelligence.

  • Chain-of-Thought Prompting Elicits Reasoning in Large Language Models, 2022, arXiv (Cornell University)
  • Self-Consistency Improves Chain of Thought Reasoning in Language Models, 2022, arXiv (Cornell University)
  • Least-to-Most Prompting Enables Complex Reasoning in Large Language Models, 2022, arXiv (Cornell University)
  • What learning algorithm is in-context learning? Investigations with linear models, 2022, arXiv (Cornell University)
  • GenDICE: Generalized Offline Estimation of Stationary Values, 2020, arXiv (Cornell University)

The scientist frequently collaborates with several co-authors, including Bo Dai, Csaba Szepesvári, Hanjun Dai, Denny Zhou, and Pieter Abbeel.

  • Bo Dai
  • Csaba Szepesvári
  • Hanjun Dai
  • Denny Zhou
  • Pieter Abbeel

Dale Schuurmans received the distinction of Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2017 for their contributions to machine learning, including foundational methods for model selection, online learning, unsupervised learning, and sequential decision making.

Best Publications

  • Probabilities for SV Machines

    Alexander J. Smola;Peter Bartlett;Bernhard Schölkopf;Dale Schuurmans

  • Maximum Margin Clustering

    Linli Xu;James Neufeld;Bryce Larson;Dale Schuurmans

  • Augmenting Naive Bayes Classifiers with Statistical Language Models

    Fuchun Peng;Dale Schuurmans;Shaojun Wang

  • Boosting in the limit: maximizing the margin of learned ensembles

    Adam J. Grove;Dale Schuurmans

  • Bridging the Gap Between Value and Policy Based Reinforcement Learning

    Ofir Nachum;Mohammad Norouzi;Kelvin Xu;Dale Schuurmans

  • Learning with a Strong Adversary

    Ruitong Huang;Bing Xu;Dale Schuurmans;Csaba Szepesvari

  • Automatic gait optimization with Gaussian process regression

    Daniel Lizotte;Tao Wang;Michael Bowling;Dale Schuurmans

  • Discriminative Batch Mode Active Learning

    Yuhong Guo;Dale Schuurmans

  • Combining naive bayes and n-gram language models for text classification

    Fuchun Peng;Dale Schuurmans

  • Systolic Peak Detection in Acceleration Photoplethysmograms Measured from Emergency Responders in Tropical Conditions

    Mohamed Elgendi;Ian Norton;Matt Brearley;Derek Abbott

  • Dynamic Alignment Kernels

    Alexander J. Smola;Peter Bartlett;Bernhard Schölkopf;Dale Schuurmans

  • Local search characteristics of incomplete SAT procedures

    Dale Schuurmans;Finnegan Southey

  • Language independent authorship attribution using character level language models

    Fuchun Peng;Dale Schuurmans;Shaojun Wang;Vlado Keselj

  • Unsupervised and semi-supervised multi-class support vector machines

    Linli Xu;Dale Schuurmans

  • Constraint-based optimization and utility elicitation using the minimax decision criterion

    Craig Boutilier;Relu Patrascu;Pascal Poupart;Dale Schuurmans

  • General Convergence Results for Linear Discriminant Updates

    Adam J. Grove;Nick Littlestone;Dale Schuurmans

  • Language Independent Authorship Attribution with Character Level N-Grams

    Fuchun Peng;Dale Schuurmans;Vlado Keselj;Shaojun Wang

  • Robust support vector machine training via convex outlier ablation

    Linli Xu;Koby Crammer;Dale Schuurmans

  • Reward augmented maximum likelihood for neural structured prediction

    Mohammad Norouzi;Samy Bengio;Zhifeng Chen;Navdeep Jaitly

  • Graphical Models and Point Pattern Matching

    T.S. Caetano;T. Caelli;D. Schuurmans;D.A.C. Barone

  • AlgaeDICE: Policy Gradient from Arbitrary Experience.

    Ofir Nachum;Bo Dai;Ilya Kostrikov;Yinlam Chow

  • An Optimistic Perspective on Offline Reinforcement Learning

    Rishabh Agarwal;Dale Schuurmans;Mohammad Norouzi

Frequent Co-Authors

Mohammad Norouzi
Mohammad Norouzi Google (United States)
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Alexander J. Smola
Alexander J. Smola Amazon (United States)
Russell Greiner
Russell Greiner University of Alberta
Craig Boutilier
Craig Boutilier Google (United States)
Yuhong Guo
Yuhong Guo Carleton University
Csaba Szepesvári
Csaba Szepesvári University of Alberta
Peter L. Bartlett
Peter L. Bartlett University of California, Berkeley
Lihong Li
Lihong Li Amazon (United States)
Derek Abbott
Derek Abbott University of Adelaide

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online study options in Computer Science opens the door to a range of degrees and career pathways. Students who prioritize flexibility might consider programs at nationally accredited online colleges, which offer recognized credentials and respected curriculums.

Emerging sectors like game development and cybersecurity are also accessible online. For creative tech careers, online game design programs deliver hands-on learning in programming, animation, and digital storytelling. Security-minded students can advance their expertise with an online master's degree cyber security, a valuable asset in today's digital world.

Beyond traditional technology roles, related degrees also provide pathways into other high-demand fields. A technical background supports success in areas like engineering management, as seen in affordable online construction management degree programs. These diverse options help aspiring professionals tailor their education to meet current industry trends and personal career goals.

Best Scientists Citing Dale Schuurmans

Trending Scientists

Recently Published Articles