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2020 – today
- 2021
[j2]Yajun Cui, Chenhui Li, Chen Chen, Yitao Liang, Yanpeng Hu, Changbo Wang:
VineMap: a metaphor visualization method for public opinion hierarchy from text data. J. Vis. 24(5): 1097-1111 (2021)- [c11]Meihua Dang, Pasha Khosravi, Yitao Liang, Antonio Vergari, Guy Van den Broeck:
Juice: A Julia Package for Logic and Probabilistic Circuits. AAAI 2021: 16020-16023 - [i12]Rushil Gupta, Vishal Sharma, Yash Jain, Yitao Liang, Guy Van den Broeck, Parag Singla:
Towards an Interpretable Latent Space in Structured Models for Video Prediction. CoRR abs/2107.07713 (2021) - 2020
- [j1]Krzysztof Gajowniczek
, Yitao Liang, Tal Friedman, Tomasz Zabkowski, Guy Van den Broeck:
Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning. Entropy 22(3): 334 (2020) - [c10]Anji Liu, Yitao Liang, Guy Van den Broeck:
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration. AAMAS 2020: 753-761 - [c9]Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto:
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning. CoRL 2020: 156-175 - [i11]Anji Liu, Yitao Liang, Guy Van den Broeck:
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration. CoRR abs/2002.10738 (2020) - [i10]Anji Liu, Yitao Liang, Ji Liu, Guy Van den Broeck, Jianshu Chen:
On Effective Parallelization of Monte Carlo Tree Search. CoRR abs/2006.08785 (2020) - [i9]Pasha Khosravi, Antonio Vergari, YooJung Choi, Yitao Liang, Guy Van den Broeck:
Handling Missing Data in Decision Trees: A Probabilistic Approach. CoRR abs/2006.16341 (2020)
2010 – 2019
- 2019
- [c8]Yitao Liang, Guy Van den Broeck:
Learning Logistic Circuits. AAAI 2019: 4277-4286 - [c7]Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck:
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. IJCAI 2019: 2716-2724 - [c6]Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, Guy Van den Broeck:
On Tractable Computation of Expected Predictions. NeurIPS 2019: 11167-11178 - [i8]Yitao Liang, Guy Van den Broeck:
Learning Logistic Circuits. CoRR abs/1902.10798 (2019) - [i7]Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck:
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. CoRR abs/1903.01620 (2019) - [i6]Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, Guy Van den Broeck:
On Tractable Computation of Expected Predictions. CoRR abs/1910.02182 (2019) - [i5]Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto:
LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning. CoRR abs/1912.02973 (2019) - 2018
- [c5]Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck:
A Semantic Loss Function for Deep Learning with Symbolic Knowledge. ICML 2018: 5498-5507 - [c4]Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu:
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. NeurIPS 2018: 5512-5522 - [i4]Zehong Hu, Yitao Liang, Yang Liu, Jie Zhang:
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. CoRR abs/1806.00206 (2018) - [i3]Jason Gauci, Edoardo Conti, Yitao Liang, Kittipat Virochsiri, Yuchen He, Zachary Kaden, Vivek Narayanan, Xiaohui Ye:
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform. CoRR abs/1811.00260 (2018) - 2017
- [c3]Yitao Liang, Jessa Bekker, Guy Van den Broeck:
Learning the Structure of Probabilistic Sentential Decision Diagrams. UAI 2017 - [c2]Yuhua Liu, Hanfei Lin, Yitao Liang, Changbo Wang:
An application of optimization method for storyline based on cluster analysis. VINCI 2017: 24-28 - [i2]Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck:
A Semantic Loss Function for Deep Learning with Symbolic Knowledge. CoRR abs/1711.11157 (2017) - 2016
- [c1]Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael H. Bowling:
State of the Art Control of Atari Games Using Shallow Reinforcement Learning. AAMAS 2016: 485-493 - 2015
- [i1]Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael H. Bowling:
State of the Art Control of Atari Games Using Shallow Reinforcement Learning. CoRR abs/1512.01563 (2015)
Coauthor Index
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