متابعة
Bo Dai
Bo Dai
Google Brain & Georgia Tech
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Discriminative embeddings of latent variable models for structured data‏
H Dai, B Dai, L Song‏
International conference on machine learning, 2702-2711, 2016‏
8902016
Syntax-directed variational autoencoder for structured data‏
H Dai, Y Tian, B Dai, S Skiena, L Song‏
arXiv preprint arXiv:1802.08786, 2018‏
472*2018
DualDICE: Behavior-agnostic estimation of discounted stationary distribution corrections‏
O Nachum, Y Chow, B Dai, L Li‏
Advances in Neural Information Processing Systems, 2315-2325, 2019‏
3812019
SBEED: Convergent reinforcement learning with nonlinear function approximation‏
B Dai, A Shaw, L Li, L Xiao, N He, Z Liu, J Chen, L Song‏
International conference on machine learning, 1125-1134, 2018‏
3342018
Learning steady-states of iterative algorithms over graphs‏
H Dai, Z Kozareva, B Dai, A Smola, L Song‏
International conference on machine learning, 1106-1114, 2018‏
2802018
AlgaeDICE: Policy gradient from arbitrary experience‏
O Nachum, B Dai, I Kostrikov, Y Chow, L Li, D Schuurmans‏
arXiv preprint arXiv:1912.02074, 2019‏
2662019
Scalable kernel methods via doubly stochastic gradients‏
B Dai, B Xie, N He, Y Liang, A Raj, MFF Balcan, L Song‏
Advances in neural information processing systems 27, 2014‏
2632014
Retrosynthesis prediction with conditional graph logic network‏
H Dai, C Li, C Coley, B Dai, L Song‏
Advances in Neural Information Processing Systems 32, 2019‏
2232019
GenDICE: Generalized Offline Estimation of Stationary Values‏
R Zhang, B Dai, L Li, D Schuurmans‏
International Conference on Learning Representations, 2020‏
2002020
Learning universal policies via text-guided video generation‏
Y Du, S Yang, B Dai, H Dai, O Nachum, J Tenenbaum, D Schuurmans, ...‏
Advances in Neural Information Processing Systems 36, 2023‏
1802023
Learning from Conditional Distributions via Dual Embeddings‏
B Dai, N He, Y Pan, B Boots, L Song‏
arXiv preprint arXiv:1607.04579, 2016‏
1742016
Iterative machine teaching‏
W Liu, B Dai, A Humayun, C Tay, C Yu, LB Smith, JM Rehg, L Song‏
International Conference on Machine Learning, 2149-2158, 2017‏
1692017
Learning towards minimum hyperspherical energy‏
W Liu, R Lin, Z Liu, L Liu, Z Yu, B Dai, L Song‏
Advances in neural information processing systems 31, 2018‏
1652018
Deep hyperspherical learning‏
W Liu, YM Zhang, X Li, Z Yu, B Dai, T Zhao, L Song‏
Advances in neural information processing systems 30, 2017‏
1582017
Stochastic generative hashing‏
B Dai, R Guo, S Kumar, N He, L Song‏
International Conference on Machine Learning, 913-922, 2017‏
1402017
Differentiable top-k with optimal transport‏
Y Xie, H Dai, M Chen, B Dai, T Zhao, H Zha, W Wei, T Pfister‏
Advances in Neural Information Processing Systems 33, 20520-20531, 2020‏
1312020
Off-Policy Evaluation via the Regularized Lagrangian‏
M Yang, O Nachum, B Dai, L Li, D Schuurmans‏
arXiv preprint arXiv:2007.03438, 2020‏
1232020
Reinforcement learning via fenchel-rockafellar duality‏
O Nachum, B Dai‏
arXiv preprint arXiv:2001.01866, 2020‏
1222020
Information-theoretic semi-supervised metric learning via entropy regularization‏
G Niu, B Dai, M Yamada, M Sugiyama‏
Neural computation 26 (8), 1717-1762, 2014‏
1092014
Lego: Latent execution-guided reasoning for multi-hop question answering on knowledge graphs‏
H Ren, H Dai, B Dai, X Chen, M Yasunaga, H Sun, D Schuurmans, ...‏
International conference on machine learning, 8959-8970, 2021‏
962021
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مقالات 1–20