b'Yang Yu'

HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation

User interest modeling is critical for personalized news recommendation....
06/08/2021 ∙ by Tao Qi, et al. ∙ 0 ∙ share

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Sparsity Prior Regularized Q-learning for Sparse Action Tasks

In many decision-making tasks, some specific actions are limited in thei...
05/18/2021 ∙ by Jing-Cheng Pang, et al. ∙ 0 ∙ share

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Regret Minimization Experience Replay

Experience replay is widely used in various deep off-policy reinforcemen...
05/15/2021 ∙ by Zhenghai Xue, et al. ∙ 0 ∙ share

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An Introduction of mini-AlphaStar

StarCraft II (SC2) is a real-time strategy game, in which players produc...
04/14/2021 ∙ by Ruo-Ze Liu, et al. ∙ 0 ∙ share

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Distributed Bootstrap for Simultaneous Inference Under High Dimensionality

We propose a distributed bootstrap method for simultaneous inference on ...
02/19/2021 ∙ by Yang Yu, et al. ∙ 0 ∙ share

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Self-supervised learning for fast and scalable time series hyper-parameter tuning

Hyper-parameters of time series models play an important role in time se...
02/10/2021 ∙ by Peiyi Zhang, et al. ∙ 7 ∙ share

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Derivative-Free Reinforcement Learning: A Review

Reinforcement learning is about learning agent models that make the best...
02/10/2021 ∙ by Hong Qian, et al. ∙ 0 ∙ share

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NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application

Pre-trained language models (PLMs) like BERT have made great progress in...
02/09/2021 ∙ by Chuhan Wu, et al. ∙ 14 ∙ 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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ASBSO: An Improved Brain Storm Optimization With Flexible Search Length and Memory-Based Selection

Brain storm optimization (BSO) is a newly proposed population-based opti...
01/27/2021 ∙ by Yang Yu, et al. ∙ 0 ∙ share

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Interactive Search Based on Deep Reinforcement Learning

With the continuous development of machine learning technology, major e-...
12/09/2020 ∙ by Yang Yu, et al. ∙ 0 ∙ share

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Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Embeddings and the Implications to Representation Learning

Human judgments of word similarity have been a popular method of evaluat...
12/03/2020 ∙ by Wei Zhang, et al. ∙ 5 ∙ share

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An authenticated and secure accounting system for international emissions trading

Expanding multi-country emissions trading system is considered as crucia...
11/27/2020 ∙ by Chenxing Li, et al. ∙ 0 ∙ share

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OrgMining 2.0: A Novel Framework for Organizational Model Mining from Event Logs

Providing appropriate structures around human resources can streamline o...
11/24/2020 ∙ by Jing Yang, et al. ∙ 6 ∙ share

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Angular Embedding: A New Angular Robust Principal Component Analysis

As a widely used method in machine learning, principal component analysi...
11/22/2020 ∙ by Shenglan Liu, et al. ∙ 4 ∙ share

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RetroXpert: Decompose Retrosynthesis Prediction like a Chemist

Retrosynthesis is the process of recursively decomposing target molecule...
11/04/2020 ∙ by Chaochao Yan, et al. ∙ 7 ∙ share

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Mining Generalized Features for Detecting AI-Manipulated Fake Faces

Recently, AI-manipulated face techniques have developed rapidly and cons...
10/27/2020 ∙ by Yang Yu, et al. ∙ 0 ∙ share

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Error Bounds of Imitating Policies and Environments

Imitation learning trains a policy by mimicking expert demonstrations. V...
10/22/2020 ∙ by Tian Xu, et al. ∙ 0 ∙ share

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Difference-in-Differences: Bridging Normalization and Disentanglement in PG-GAN

What mechanisms causes GAN's entanglement? Although developing disentang...
10/16/2020 ∙ by Xiao Liu, et al. ∙ 0 ∙ share

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TurboTransformers: An Efficient GPU Serving System For Transformer Models

The transformer is the most critical algorithm innovation of the Nature ...
10/09/2020 ∙ by Jiarui Fang, et al. ∙ 0 ∙ share

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Reinforced Epidemic Control: Saving Both Lives and Economy

Saving lives or economy is a dilemma for epidemic control in most cities...
08/04/2020 ∙ by Sirui Song, et al. ∙ 0 ∙ share

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QPLEX: Duplex Dueling Multi-Agent Q-Learning

We explore value-based multi-agent reinforcement learning (MARL) in the ...
08/03/2020 ∙ by Jianhao Wang, et al. ∙ 0 ∙ share

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Local Neighbor Propagation Embedding

Manifold Learning occupies a vital role in the field of nonlinear dimens...
06/29/2020 ∙ by Shenglan Liu, et al. ∙ 0 ∙ share

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Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak

Since December 2019, the coronavirus disease 2019 (COVID-19) has spread ...
04/16/2020 ∙ by Tianyu Liu, et al. ∙ 9 ∙ share

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Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce

Learning-to-rank (LTR) has become a key technology in E-commerce applica...
03/25/2020 ∙ by Guangda Huzhang, et al. ∙ 0 ∙ share

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Beyond the Ground-Truth: An Evaluator-Generator Framework for Group-wise Learning-to-Rank in E-Commerce

Learning-to-rank (LTR) has become a key technology in E-commerce applica...
03/25/2020 ∙ by Guangda Huzhang, et al. ∙ 0 ∙ share

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Design of Convergence-Optimized Non-binary LDPC Codes over Binary Erasure Channel

In this letter, we present a hybrid iterative decoder for non-binary low...
03/03/2020 ∙ by Yang Yu, et al. ∙ 0 ∙ share

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Novelty-Prepared Few-Shot Classification

Few-shot classification algorithms can alleviate the data scarceness iss...
03/01/2020 ∙ by Chao Wang, et al. ∙ 0 ∙ share

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Simultaneous Inference for Massive Data: Distributed Bootstrap

In this paper, we propose a bootstrap method applied to massive data pro...
02/19/2020 ∙ by Yang Yu, et al. ∙ 0 ∙ share

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Residual Bootstrap Exploration for Bandit Algorithms

In this paper, we propose a novel perturbation-based exploration method ...
02/19/2020 ∙ by Chi-Hua Wang, et al. ∙ 0 ∙ share

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Temporal-adaptive Hierarchical Reinforcement Learning

Hierarchical reinforcement learning (HRL) helps address large-scale and ...
02/06/2020 ∙ by Wen-Ji Zhou, et al. ∙ 0 ∙ share

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Robust Data-driven Profile-based Pricing Schemes

To enable an efficient electricity market, a good pricing scheme is of v...
12/12/2019 ∙ by Jingshi Cui, et al. ∙ 0 ∙ share

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Optimal Electricity Storage Sharing Mechanism for Single Peaked Time-of-Use Pricing Scheme

Sharing economy has disrupted many industries. We foresee that electrici...
12/07/2019 ∙ by Kui Wang, et al. ∙ 0 ∙ share

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A Data-driven Storage Control Framework for Dynamic Pricing

Dynamic pricing is both an opportunity and a challenge to the demand sid...
12/01/2019 ∙ by Jiaman Wu, et al. ∙ 0 ∙ share

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Improving Fictitious Play Reinforcement Learning with Expanding Models

Fictitious play with reinforcement learning is a general and effective f...
11/27/2019 ∙ by Rong-Jun Qin, et al. ∙ 0 ∙ share

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Vulnerability Analysis for Data Driven Pricing Schemes

Data analytics and machine learning techniques are being rapidly adopted...
11/18/2019 ∙ by Jingshi Cui, et al. ∙ 0 ∙ share

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On Value Discrepancy of Imitation Learning

Imitation learning trains a policy from expert demonstrations. Imitation...
11/16/2019 ∙ by Tian Xu, et al. ∙ 0 ∙ share

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Debugging Crashes using Continuous Contrast Set Mining

Facebook operates a family of services used by over two billion people d...
11/12/2019 ∙ by Rebecca Qian, et al. ∙ 0 ∙ share

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Rule Designs for Optimal Online Game Matchmaking

Online games are the most popular form of entertainment among youngsters...
11/09/2019 ∙ by Mingkuan Xu, et al. ∙ 0 ∙ share

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Conductor Galloping Prediction on Imbalanced Datasets: SVM with Smart Sampling

Conductor galloping is the high-amplitude, low-frequency oscillation of ...
11/09/2019 ∙ by Kui Wang, et al. ∙ 0 ∙ share

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Signal Combination for Language Identification

Google's multilingual speech recognition system combines low-level acous...
10/21/2019 ∙ by Shengye Wang, et al. ∙ 0 ∙ share

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Hierarchic Neighbors Embedding

Manifold learning now plays a very important role in machine learning an...
09/16/2019 ∙ by Shenglan Liu, et al. ∙ 14 ∙ share

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LabelECG: A Web-based Tool for Distributed Electrocardiogram Annotation

Electrocardiography plays an essential role in diagnosing and screening ...
08/19/2019 ∙ by Zijian Ding, et al. ∙ 0 ∙ share

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On the Robustness of Median Sampling in Noisy Evolutionary Optimization

In real-world optimization tasks, the objective (i.e., fitness) function...
07/28/2019 ∙ by Chao Bian, et al. ∙ 0 ∙ share

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Towards AutoML in the presence of Drift: first results

Research progress in AutoML has lead to state of the art solutions that ...
07/24/2019 ∙ by Jorge G. Madrid, et al. ∙ 0 ∙ share

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Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation

Reinforcement learning aims at searching the best policy model for decis...
07/12/2019 ∙ by Wenjie Shang, et al. ∙ 4 ∙ share

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Key Ingredients of Self-Driving Cars

Over the past decade, many research articles have been published in the ...
06/07/2019 ∙ by Rui Fan, et al. ∙ 0 ∙ share

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Knowledge-augmented Column Networks: Guiding Deep Learning with Advice

Recently, deep models have had considerable success in several tasks, es...
05/31/2019 ∙ by Mayukh Das, et al. ∙ 0 ∙ share

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Reinforcement Learning Experience Reuse with Policy Residual Representation

Experience reuse is key to sample-efficient reinforcement learning. One ...
05/31/2019 ∙ by Wen-Ji Zhou, et al. ∙ 0 ∙ share

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Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit

An automatic machine learning (AutoML) task is to select the best algori...
05/31/2019 ∙ by Yi-Qi Hu, et al. ∙ 0 ∙ share

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Yang Yu

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