Stephen Giguere

Affiliations:
  • University of Texas at Austin, Department of Computer Science, TX, USA
  • University of Massachusetts Amherst, College of Information and Computer Sciences, MA, USA


According to our database1, Stephen Giguere authored at least 11 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Automated Discovery of Functional Actual Causes in Complex Environments.
CoRR, 2024

2022
Fairness Guarantees under Demographic Shift.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
SOPE: Spectrum of Off-Policy Estimators.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Distributional Depth-Based Estimation of Object Articulation Models.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models.
CoRR, 2020

2019
Offline Contextual Bandits with High Probability Fairness Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017
A Manifold Approach to Learning Mutually Orthogonal Subspaces.
CoRR, 2017

2014
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces.
CoRR, 2014

2013
Attribit: content creation with semantic attributes.
Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology, 2013

Projected Natural Actor-Critic.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Basis Adaptation for Sparse Nonlinear Reinforcement Learning.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013


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