On Minimax Optimality of GANs for Robust Mean Estimation
Twenty Third International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Authors: G. W. Ding , R. Huang, Y. Yu, K. Wu
Multi Type Mean Field Reinforcement Learning
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2020
Authors: S. Subramanian, P. Poupart, M. E. Taylor, N. Hegde
Temporally Extended Auxiliary Tasks
Workshop on Adaptive and Learning Agents (AAMAS), 2020
Authors: C. Sherstan, B. Kartal, P. Hernandez-Leal , M. E. Taylor
Max-Margin Adversarial Training: Direct Input Space Margin Maximization through Adversarial Training
International Conference on Learning Representations (ICLR), 2020
Authors: G. W. Ding , Y. Sharma, K. Lui , R. Huang
Representation Learning for Dynamic Graphs: A Survey
Journal of Machine Learning Research (JMLR), 2020
Authors: M. Kazemi , R. Goel, K. Jain, I. Kobyzev , A. Sethi, P. Forsyth , P. Poupart
Adapting Grad-CAM for Embedding Networks
IEEE Winter Conference on Applications of Computer Vision (WACV), 2020
Authors: L. Chen, J. Chen , H. Hajimirsadeghi , G. Mori
Diachronic Embedding for Temporal Knowledge Graph Completion
Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Authors: R. Goel, S. M. Kazemi , M. Brubaker , P. Poupart
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents
Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Authors: F. L. Da Silva, P. Hernandez-Leal , B. Kartal, M. E. Taylor
Point Process Flows
Workshop on Learning with Temporal Point Processes (NeurIPS), 2019
Authors: *N. Mehrasa, *R. Deng, M. O. Ahmed , B. Chang, J. He , T. Durand , M. Brubaker , G. Mori
* Denotes equal contribution
Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces
Neural Information Processing Systems (NeurIPS), 2019
Authors: B. Wang, N. Hegde
Arbitrarily-conditioned Data Imputation
2nd Symposium on Advances in Approximate Bayesian Inference (AABI), 2019
Authors: M. Carvalho, T. Durand , J. He , N. Mehrasa, G. Mori