| Distributional Reinforcement Learning via Moment Matching T Nguyen-Tang, S Gupta, S Venkatesh AAAI, 2021 | 68* | 2021 |
| TIPI: Test Time Adaptation with Transformation Invariance AT Nguyen, T Nguyen-Tang, SN Lim, PHS Torr CVPR, 2023 | 36 | 2023 |
| Distributionally robust Bayesian quadrature optimization T Nguyen, S Gupta, H Ha, S Rana, S Venkatesh AISTATS, 1921-1931, 2020 | 35 | 2020 |
| Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks T Nguyen-Tang, S Gupta, TT Hung, S Venkatesh TMLR, 2022 | 30* | 2022 |
| Bayesian Optimization with Unknown Search Space H Ha, S Rana, S Gupta, T Nguyen-Tang, H Tran-The, S Venkatesh NeurIPS, 2019 | 29 | 2019 |
| Markov Information Bottleneck: Information Flows in Stochastic Neural Networks T Nguyen-Tang, J Choi Entropy, Special Issue on Information Bottleneck: Theory and Applications in …, 2019 | 28* | 2019 |
| Offline neural contextual bandits: Pessimism, optimization and generalization T Nguyen-Tang, S Gupta, AT Nguyen, S Venkatesh ICLR, 2021 | 23 | 2021 |
| On instance-dependent bounds for offline reinforcement learning with linear function approximation T Nguyen-Tang, M Yin, S Gupta, S Venkatesh, R Arora AAAI 37 (8), 9310-9318, 2023 | 20 | 2023 |
| Optimistic rates for multi-task representation learning A Watkins, E Ullah, T Nguyen-Tang, R Arora NeurIPS 36, 2207-2251, 2023 | 9 | 2023 |
| Learning Fractional White Noises in Neural Stochastic Differential Equations A Tong, T Nguyen-Tang, T Tran, J Choi NeurIPS, 2022 | 9 | 2022 |
| On sample-efficient offline reinforcement learning: Data diversity, posterior sampling and beyond T Nguyen-Tang, R Arora NeurIPS 36, 2023 | 8 | 2023 |
| Viper: Provably efficient algorithm for offline RL with neural function approximation T Nguyen-Tang, R Arora ICLR (Spotlight), 2023 | 7* | 2023 |
| Domain Generalization with Interpolation Robustness R Palakkadavath, T Nguyen-Tang, S Gupta, S Venkatesh ACML, 2022 | 7* | 2022 |
| Two-Stage Neural Contextual Bandits for Personalised News Recommendation M Zhang, T Nguyen-Tang, F Wu, Z He, X Xie, CS Ong arXiv preprint arXiv:2206.14648, 2022 | 6 | 2022 |
| Offline multitask representation learning for reinforcement learning H Ishfaq, T Nguyen-Tang, S Feng, R Arora, M Wang, M Yin, D Precup NeurIPS, 2024 | 5 | 2024 |
| SigFormer: Signature Transformers for Deep Hedging A Tong, T Nguyen-Tang, D Lee, T Tran, J Choi ICAIF (Oral), 2023 | 3 | 2023 |
| A Cosine Similarity-based Method for Out-of-Distribution Detection N Ngoc-Hieu, N Hung-Quang, TA Ta, T Nguyen-Tang, KD Doan, ... ICML Workshop on Spurious Correlations, Invariance, and Stability, 2023 | 3 | 2023 |
| Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms T Nguyen-Tang, R Arora NeurIPS, 2024 | 1 | 2024 |
| Adversarially Robust Multi-task Representation Learning A Watkins, T Nguyen-Tang, E Ullah, R Arora NeurIPS, 2024 | 1 | 2024 |
| On The Statistical Complexity of Offline Decision-Making T Nguyen-Tang, R Arora ICML, 2024 | 1 | 2024 |
Raman AroraDepartment of Computer Science, Johns Hopkins UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cs.jhu.edu
