Timothy A. Mann
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
8
Active years
2008–2022
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ICLR | Defending Against Image Corruptions Through Adversarial Augmentations. | Dan Andrei Calian, Florian Stimberg, Olivia Wiles, Sylvestre-Alvise Rebuffi, Andrs Gyrgy, Timothy A. Mann, Sven Gowal |
| 2021 | ICLR | Balancing Constraints and Rewards with Meta-Gradient D4PG. | Dan A. Calian, Daniel J. Mankowitz, Tom Zahavy, Zhongwen Xu, Junhyuk Oh, Nir Levine, Timothy A. Mann |
| 2021 | ICLR | Self-supervised Adversarial Robustness for the Low-label, High-data Regime. | Sven Gowal, Po-Sen Huang, Aron van den Oord, Timothy A. Mann, Pushmeet Kohli |
| 2020 | CVPR | Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations. | Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli |
| 2020 | ICLR | Robust Reinforcement Learning for Continuous Control with Model Misspecification. | Daniel J. Mankowitz, Nir Levine, Rae Jeong, Abbas Abdolmaleki, Jost Tobias Springenberg, Yuanyuan Shi, Jackie Kay, Todd Hester, Timothy A. Mann, Martin A. Riedmiller |
| 2020 | ICML | Non-Stationary Delayed Bandits with Intermediate Observations. | Claire Vernade, Andrs Gyrgy, Timothy A. Mann |
| 2020 | KDD | The NodeHopper: Enabling Low Latency Ranking with Constraints via a Fast Dual Solver. | Anton Zhernov, Krishnamurthy (Dj) Dvijotham, Ivan Lobov, Dan A. Calian, Michelle X. Gong, Natarajan Chandrashekar, Timothy A. Mann |
| 2019 | ICLR | Beyond Greedy Ranking: Slate Optimization via List-CVAE. | Ray Jiang, Sven Gowal, Yuqiu Qian, Timothy A. Mann, Danilo J. Rezende |
| 2019 | ICML | Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems. | Timothy A. Mann, Sven Gowal, Andrs Gyrgy, Huiyi Hu, Ray Jiang, Balaji Lakshminarayanan, Prav Srinivasan |
| 2019 | IJCAI | A Dual Approach to Verify and Train Deep Networks. | Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Timothy A. Mann, Pushmeet Kohli |
| 2019 | UAI | A Bayesian Approach to Robust Reinforcement Learning. | Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor |
| 2018 | AAAI | Learning Robust Options. | Daniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor |
| 2018 | UAI | Soft-Robust Actor-Critic Policy-Gradient. | Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor |
| 2018 | UAI | A Dual Approach to Scalable Verification of Deep Networks. | Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli |
| 2017 | IJCAI | Approximate Value Iteration with Temporally Extended Actions (Extended Abstract). | Timothy A. Mann, Shie Mannor, Doina Precup |
| 2015 | AAAI | Learning When to Switch between Skills in a High Dimensional Domain. | Timothy A. Mann, Daniel J. Mankowitz, Shie Mannor |
| 2015 | ICML | Off-policy Model-based Learning under Unknown Factored Dynamics. | Assaf Hallak, Franois Schnitzler, Timothy A. Mann, Shie Mannor |
| 2014 | ICML | Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations. | Timothy A. Mann, Shie Mannor |
| 2014 | ICML | Time-Regularized Interrupting Options (TRIO). | Timothy A. Mann, Daniel J. Mankowitz, Shie Mannor |
| 2011 | AAAI | Scaling Up Reinforcement Learning through Targeted Exploration. | Timothy A. Mann, Yoonsuck Choe |
| 2008 | GRC | Effects of Varying the Delay Distribution in Random, Scale-free, and Small-world Networks. | Bum Soon Jang, Timothy A. Mann, Yoonsuck Choe |