b'Weinan Zhang'

Learning to Select Cuts for Efficient Mixed-Integer Programming

Cutting plane methods play a significant role in modern solvers for tack...
05/28/2021 ∙ by Zeren Huang, et al. ∙ 8 ∙ share

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MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks

In Goal-oriented Reinforcement learning, relabeling the raw goals in pas...
05/13/2021 ∙ by Menghui Zhu, et al. ∙ 0 ∙ share

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Deep Learning for Click-Through Rate Estimation

Click-through rate (CTR) estimation plays as a core function module in v...
04/21/2021 ∙ by Weinan Zhang, et al. ∙ 0 ∙ share

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An Adversarial Imitation Click Model for Information Retrieval

Modern information retrieval systems, including web search, ads placemen...
04/13/2021 ∙ by Xinyi Dai, et al. ∙ 0 ∙ share

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MARS: Markov Molecular Sampling for Multi-objective Drug Discovery

Searching for novel molecules with desired chemical properties is crucia...
03/18/2021 ∙ by Yutong Xie, et al. ∙ 16 ∙ share

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NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

Offline reinforcement learning (RL) aims at learning a good policy from ...
02/01/2021 ∙ by Rongjun Qin, et al. ∙ 27 ∙ share

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Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search

Hero drafting is essential in MOBA game playing as it builds the team of...
12/18/2020 ∙ by Sheng Chen, et al. ∙ 0 ∙ share

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Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings

Cycle-consistent training is widely used for jointly learning a forward ...
12/14/2020 ∙ by Qipeng Guo, et al. ∙ 10 ∙ share

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Sobolev Wasserstein GAN

Wasserstein GANs (WGANs), built upon the Kantorovich-Rubinstein (KR) dua...
12/07/2020 ∙ by Minkai Xu, et al. ∙ 10 ∙ share

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Reciprocal Supervised Learning Improves Neural Machine Translation

Despite the recent success on image classification, self-training has on...
12/05/2020 ∙ by Minkai Xu, et al. ∙ 0 ∙ share

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U-rank: Utility-oriented Learning to Rank with Implicit Feedback

Learning to rank with implicit feedback is one of the most important tas...
11/01/2020 ∙ by Xinyi Dai, et al. ∙ 0 ∙ share

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Efficient Projection-Free Algorithms for Saddle Point Problems

The Frank-Wolfe algorithm is a classic method for constrained optimizati...
10/21/2020 ∙ by Cheng Chen, et al. ∙ 0 ∙ share

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Model-based Policy Optimization with Unsupervised Model Adaptation

Model-based reinforcement learning methods learn a dynamics model with r...
10/19/2020 ∙ by Jian Shen, et al. ∙ 0 ∙ share

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A Compare Aggregate Transformer for Understanding Document-grounded Dialogue

Unstructured documents serving as external knowledge of the dialogues he...
10/01/2020 ∙ by Longxuan Ma, et al. ∙ 0 ∙ share

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GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning

The heavy traffic congestion problem has always been a concern for moder...
09/17/2020 ∙ by Chang Liu, et al. ∙ 9 ∙ share

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GIKT: A Graph-based Interaction Model for Knowledge Tracing

With the rapid development in online education, knowledge tracing (KT) h...
09/13/2020 ∙ by Yang Yang, et al. ∙ 19 ∙ share

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Learning to Infer User Hidden States for Online Sequential Advertising

To drive purchase in online advertising, it is of the advertiser's great...
09/03/2020 ∙ by Zhaoqing Peng, et al. ∙ 8 ∙ share

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Glancing Transformer for Non-Autoregressive Neural Machine Translation

Non-autoregressive neural machine translation achieves remarkable infere...
08/18/2020 ∙ by Lihua Qian, et al. ∙ 0 ∙ share

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Bidirectional Model-based Policy Optimization

Model-based reinforcement learning approaches leverage a forward dynamic...
07/04/2020 ∙ by Hang Lai, et al. ∙ 8 ∙ share

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Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning

Interactive recommender system (IRS) has drawn huge attention because of...
06/18/2020 ∙ by Sijin Zhou, et al. ∙ 0 ∙ share

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CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training

Two important tasks at the intersection of knowledge graphs and natural ...
06/08/2020 ∙ by Qipeng Guo, et al. ∙ 10 ∙ share

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Counterfactual Off-Policy Training for Neural Response Generation

Learning a neural response generation model on data synthesized under th...
04/29/2020 ∙ by Qingfu Zhu, et al. ∙ 0 ∙ share

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Energy-Based Imitation Learning

We tackle a common scenario in imitation learning (IL), where agents try...
04/20/2020 ∙ by Minghuan Liu, et al. ∙ 0 ∙ share

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Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space

In this paper, we focus on reducing the labeled data size for sentence l...
04/17/2020 ∙ by Dongyu Ru, et al. ∙ 0 ∙ share

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AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

Learning effective feature interactions is crucial for click-through rat...
03/25/2020 ∙ by Bin Liu, et al. ∙ 2 ∙ share

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Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency

Recent advances in large-scale optimal transport have greatly extended i...
03/14/2020 ∙ by Guansong Lu, et al. ∙ 16 ∙ share

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Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning

Author name ambiguity causes inadequacy and inconvenience in academic in...
02/23/2020 ∙ by Haiwen Wang, et al. ∙ 0 ∙ share

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GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation

Molecular graph generation is a fundamental problem for drug discovery a...
01/26/2020 ∙ by Chence Shi, et al. ∙ 20 ∙ share

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Multi-Agent Interactions Modeling with Correlated Policies

In multi-agent systems, complex interacting behaviors arise due to the h...
01/04/2020 ∙ by Minghuan Liu, et al. ∙ 0 ∙ share

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Improving Unsupervised Domain Adaptation with Variational Information Bottleneck

Domain adaptation aims to leverage the supervision signal of source doma...
11/21/2019 ∙ by Yuxuan Song, et al. ∙ 0 ∙ share

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Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling

Sequential recommendation task aims to predict user preference over item...
11/10/2019 ∙ by Jiarui Qin, et al. ∙ 0 ∙ share

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Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching

Improving the efficiency of dispatching orders to vehicles is a research...
10/07/2019 ∙ by Ming Zhou, et al. ∙ 0 ∙ share

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Signal Instructed Coordination in Team Competition

Most existing models of multi-agent reinforcement learning (MARL) adopt ...
09/10/2019 ∙ by Liheng Chen, et al. ∙ 11 ∙ share

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Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning

In many real-world problems, a team of agents need to collaborate to max...
09/10/2019 ∙ by Liheng Chen, et al. ∙ 0 ∙ share

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Bi-level Actor-Critic for Multi-agent Coordination

Coordination is one of the essential problems in multi-agent systems. Ty...
09/08/2019 ∙ by Haifeng Zhang, et al. ∙ 0 ∙ share

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Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds

Most e-commerce product feeds provide blended results of advertised prod...
08/19/2019 ∙ by Dagui Chen, et al. ∙ 0 ∙ share

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Towards Making the Most of BERT in Neural Machine Translation

GPT-2 and BERT demonstrate the effectiveness of using pre-trained langua...
08/15/2019 ∙ by Jiacheng Yang, et al. ∙ 0 ∙ share

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An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation

This paper studies graph-based recommendation, where an interaction grap...
08/12/2019 ∙ by Yanru Qu, et al. ∙ 0 ∙ share

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CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms

How to optimally dispatch orders to vehicles and how to trade off betwee...
05/27/2019 ∙ by Jiarui Jin, et al. ∙ 0 ∙ share

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Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence

Knowledge base is one of the main forms to represent information in a st...
05/25/2019 ∙ by Yaoming Zhu, et al. ∙ 0 ∙ share

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Dynamically Fused Graph Network for Multi-hop Reasoning

Text-based question answering (TBQA) has been studied extensively in rec...
05/16/2019 ∙ by Yunxuan Xiao, et al. ∙ 0 ∙ share

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CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

Traffic signal control is an emerging application scenario for reinforce...
05/13/2019 ∙ by Huichu Zhang, et al. ∙ 0 ∙ share

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CoLight: Learning Network-level Cooperation for Traffic Signal Control

Cooperation is critical in multi-agent reinforcement learning (MARL). In...
05/11/2019 ∙ by Hua Wei, et al. ∙ 0 ∙ share

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Deep Landscape Forecasting for Real-time Bidding Advertising

The emergence of real-time auction in online advertising has drawn huge ...
05/07/2019 ∙ by Kan Ren, et al. ∙ 0 ∙ share

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Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction

User response prediction, which models the user preference w.r.t. the pr...
05/02/2019 ∙ by Kan Ren, et al. ∙ 0 ∙ share

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Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs

Lipschitz continuity recently becomes popular in generative adversarial ...
04/02/2019 ∙ by Zhiming Zhou, et al. ∙ 0 ∙ share

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Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space

In this paper we propose a hybrid architecture of actor-critic algorithm...
03/04/2019 ∙ by Zhou Fan, et al. ∙ 1 ∙ share

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Lipschitz Generative Adversarial Nets

In this paper we study the convergence of generative adversarial network...
02/15/2019 ∙ by Zhiming Zhou, et al. ∙ 0 ∙ share

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CommunityGAN: Community Detection with Generative Adversarial Nets

Community detection refers to the task of discovering groups of vertices...
01/20/2019 ∙ by Yuting Jia, et al. ∙ 0 ∙ share

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Large-scale Interactive Recommendation with Tree-structured Policy Gradient

Reinforcement learning (RL) has recently been introduced to interactive ...
11/14/2018 ∙ by Haokun Chen, et al. ∙ 0 ∙ share

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Weinan Zhang

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