TheoremQA: A Theorem-driven Question Answering dataset W Chen, M Yin, M Ku, E Wan, X Ma, J Xu, T Xia, X Wang, P Lu EMNLP 2023, 2023 | 46 | 2023 |
Logarithmic Regret in Feature-based Dynamic Pricing J Xu, YX Wang (NeurIPS 2021) Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 28 | 2021 |
Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise J Xu, YX Wang (AISTATS-22) The 25th International Conference on Artificial Intelligence …, 2022 | 15 | 2022 |
Fast Search of the Optimal Contraction Sequence in Tensor Networks L Liang, J Xu, L Deng, M Yan, X Hu, Z Zhang, G Li, Y Xie IEEE Journal of Selected Topics in Signal Processing 15 (3), 574-586, 2021 | 11 | 2021 |
Doubly Fair Dynamic Pricing J Xu, D Qiao, YX Wang (AISTATS-23) International Conference on Artificial Intelligence and …, 2022 | 8 | 2022 |
Towards a polynomial algorithm for optimal contraction sequence of tensor networks from trees J Xu, L Liang, L Deng, C Wen, Y Xie, G Li Physical Review E 100 (4), 043309, 2019 | 8 | 2019 |
Non-Stationary Contextual Pricing with Safety Con-straints D Baby *, J Xu *, YX Wang Transactions on Machine Learning Research (TMLR), 2023 | 2* | 2023 |
Towards a unified framework of matrix derivatives J Xu, G Li, C Wen, K Wu, L Deng IEEE Access 6, 47922-47934, 2018 | 1 | 2018 |
Pricing with Contextual Elasticity and Heteroscedastic Valuation J Xu, YX Wang ICML 2024, 2023 | | 2023 |
NP-Hardness of Tensor Network Contraction Ordering J Xu, H Zhang, L Liang, L Deng, Y Xie, G Li arXiv preprint arXiv:2310.06140, 2023 | | 2023 |