Timothy A. Mann

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Fixing Data Augmentation to Improve Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 2021

Data Augmentation Can Improve Robustness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improving Robustness using Generated Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Self-supervised Adversarial Robustness for the Low-label, High-data Regime.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Balancing Constraints and Rewards with Meta-Gradient D4PG.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification.

[BibT_eX]

[DOI]

CoRR, 2020

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples.

[BibT_eX]

[DOI]

CoRR, 2020

Non-Stationary Bandits with Intermediate Observations.

[BibT_eX]

[DOI]

Claire Vernade

Krishnamurthy (Dj) Dvijotham

CoRR, 2020

The NodeHopper: Enabling Low Latency Ranking with Constraints via a Fast Dual Solver.

[BibT_eX]

[DOI]

Anton Zhernov

Ivan Lobov

Dan A. Calian

Michelle X. Gong

Natarajan Chandrashekar

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Non-Stationary Delayed Bandits with Intermediate Observations.

[BibT_eX]

[DOI]

Claire Vernade

Proceedings of the 37th International Conference on Machine Learning, 2020

Robust Reinforcement Learning for Continuous Control with Model Misspecification.

[BibT_eX]

[DOI]

Jost Tobias Springenberg

Proceedings of the 8th International Conference on Learning Representations, 2020

Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations.

[BibT_eX]

[DOI]

Pushmeet Kohli

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

An Alternative Surrogate Loss for PGD-based Adversarial Testing.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Reinforcement Learning for Continuous Control with Model Misspecification.

[BibT_eX]

[DOI]

Jost Tobias Springenberg

Todd Hester

Martin A. Riedmiller

CoRR, 2019

A Bayesian Approach to Robust Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Dual Approach to Verify and Train Deep Networks.

[BibT_eX]

[DOI]

Robert Stanforth

Pushmeet Kohli

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems.

[BibT_eX]

[DOI]

Balaji Lakshminarayanan

Prav Srinivasan

Proceedings of the 36th International Conference on Machine Learning, 2019

Beyond Greedy Ranking: Slate Optimization via List-CVAE.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Scalable Verified Training for Provably Robust Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models.

[BibT_eX]

[DOI]

CoRR, 2018

Learning from Delayed Outcomes with Intermediate Observations.

[BibT_eX]

[DOI]

Balaji Lakshminarayanan

CoRR, 2018

Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation Problem.

[BibT_eX]

[DOI]

CoRR, 2018

Optimizing Slate Recommendations via Slate-CVAE.

[BibT_eX]

[DOI]

CoRR, 2018

A Dual Approach to Scalable Verification of Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Soft-Robust Actor-Critic Policy-Gradient.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Learning Robust Options.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Approximate Value Iteration with Temporally Extended Actions (Extended Abstract).

[BibT_eX]

[DOI]

Doina Precup

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Adaptive Lambda Least-Squares Temporal Difference Learning.

[BibT_eX]

[DOI]

CoRR, 2016

Iterative Hierarchical Optimization for Misspecified Problems (IHOMP).

[BibT_eX]

[DOI]

CoRR, 2016

Adaptive Skills Adaptive Partitions (ASAP).

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Approximate Value Iteration with Temporally Extended Actions.

[BibT_eX]

[DOI]

Doina Precup

J. Artif. Intell. Res., 2015

Bootstrapping Skills.

[BibT_eX]

[DOI]

CoRR, 2015

Actively Learning to Attract Followers on Twitter.

[BibT_eX]

[DOI]

Nir Levine

CoRR, 2015

Off-policy evaluation for MDPs with unknown structure.

[BibT_eX]

[DOI]

CoRR, 2015

Off-policy Model-based Learning under Unknown Factored Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Learning When to Switch between Skills in a High Dimensional Domain.

[BibT_eX]

[DOI]

Proceedings of the Learning for General Competency in Video Games, 2015

2014

How hard is my MDP?" The distribution-norm to the rescue".

[BibT_eX]

[DOI]

Odalric-Ambrym Maillard

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Time-Regularized Interrupting Options (TRIO).

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Autonomous and Interactive Improvement of Binocular Visual Depth Estimation through Sensorimotor Interaction.

[BibT_eX]

[DOI]

IEEE Trans. Auton. Ment. Dev., 2013

2012

Directed Exploration in Reinforcement Learning with Transferred Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Tenth European Workshop on Reinforcement Learning, 2012

2011

Scaling Up Reinforcement Learning through Targeted Exploration.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Prenatal to postnatal transfer of motor skills through motor-compatible sensory representations.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010

2008

Effects of Varying the Delay Distribution in Random, Scale-free, and Small-world Networks.

[BibT_eX]

[DOI]

Bum Soon Jang