Yang Yu

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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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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A Lower Bound Analysis of Population-based Evolutionary Algorithms for Pseudo-Boolean Functions

Evolutionary algorithms (EAs) are population-based general-purpose optim...
06/10/2016 ∙ by Chao Qian, et al. ∙ 0 ∙ share

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The Sampling-and-Learning Framework: A Statistical View of Evolutionary Algorithms

Evolutionary algorithms (EAs), a large class of general purpose optimiza...
01/24/2014 ∙ by Yang Yu, et al. ∙ 0 ∙ share

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Towards Analyzing Crossover Operators in Evolutionary Search via General Markov Chain Switching Theorem

Evolutionary algorithms (EAs), simulating the evolution process of natur...
11/03/2011 ∙ by Yang Yu, et al. ∙ 0 ∙ share

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On the approximation ability of evolutionary optimization with application to minimum set cover

Evolutionary algorithms (EAs) are heuristic algorithms inspired by natur...
11/17/2010 ∙ by Yang Yu, et al. ∙ 0 ∙ share

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Structured Memory for Neural Turing Machines

Neural Turing Machines (NTM) contain memory component that simulates "wo...
10/14/2015 ∙ by Wei Zhang, et al. ∙ 0 ∙ share

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Analyzing Evolutionary Optimization in Noisy Environments

Many optimization tasks have to be handled in noisy environments, where ...
11/20/2013 ∙ by Chao Qian, et al. ∙ 0 ∙ share

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Weak Evolvability Equals Strong Evolvability

An updated version will be uploaded later....
05/28/2009 ∙ by Yang Yu, et al. ∙ 0 ∙ share

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End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension

This paper proposes dynamic chunk reader (DCR), an end-to-end neural rea...
10/31/2016 ∙ by Yang Yu, et al. ∙ 0 ∙ share

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Empirical Study on Deep Learning Models for Question Answering

In this paper we explore deep learning models with memory component or a...
10/26/2015 ∙ by Yang Yu, et al. ∙ 0 ∙ share

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Recognizing Extended Spatiotemporal Expressions by Actively Trained Average Perceptron Ensembles

Precise geocoding and time normalization for text requires that location...
08/19/2015 ∙ by Wei Zhang, et al. ∙ 0 ∙ share

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ZOOpt/ZOOjl: Toolbox for Derivative-Free Optimization

Recent advances of derivative-free optimization allow efficient approxim...
12/31/2017 ∙ by Yu-Ren Liu, et al. ∙ 0 ∙ share

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Tunneling Neural Perception and Logic Reasoning through Abductive Learning

Perception and reasoning are basic human abilities that are seamlessly c...
02/04/2018 ∙ by Wang-Zhou Dai, et al. ∙ 0 ∙ share

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Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application

In e-commerce platforms such as Amazon and TaoBao, ranking items in a se...
03/02/2018 ∙ by Yujing Hu, et al. ∙ 0 ∙ share

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Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection

In industrial large-scale search systems, such as Taobao.com search for ...
03/02/2018 ∙ by Yusen Zhan, et al. ∙ 0 ∙ share

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Knowledge Base Relation Detection via Multi-View Matching

Relation detection is a core component for Knowledge Base Question Answe...
03/01/2018 ∙ by Yang Yu, et al. ∙ 0 ∙ share

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Maximizing Non-monotone/Non-submodular Functions by Multi-objective Evolutionary Algorithms

Evolutionary algorithms (EAs) are a kind of nature-inspired general-purp...
11/20/2017 ∙ by Chao Qian, et al. ∙ 0 ∙ share

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Multi-Layered Gradient Boosting Decision Trees

Multi-layered representation is believed to be the key ingredient of dee...
05/31/2018 ∙ by Ji Feng, et al. ∙ 0 ∙ share

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Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning

Applying reinforcement learning in physical-world tasks is extremely cha...
05/25/2018 ∙ by Jing-Cheng Shi, et al. ∙ 0 ∙ share

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WikiRank: Improving Keyphrase Extraction Based on Background Knowledge

Keyphrase is an efficient representation of the main idea of documents. ...
03/23/2018 ∙ by Yang Yu, et al. ∙ 0 ∙ share

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On Reinforcement Learning for Full-length Game of StarCraft

StarCraft II poses a grand challenge for reinforcement learning. The mai...
09/23/2018 ∙ by Zhen-Jia Pang, et al. ∙ 0 ∙ share

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Analysis of Noisy Evolutionary Optimization When Sampling Fails

In noisy evolutionary optimization, sampling is a common strategy to dea...
10/11/2018 ∙ by Chao Qian, et al. ∙ 0 ∙ share

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Tuplemax Loss for Language Identification

In many scenarios of a language identification task, the user will speci...
11/29/2018 ∙ by Li Wan, et al. ∙ 0 ∙ share

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PointIT: A Fast Tracking Framework Based on 3D Instance Segmentation

Recently most popular tracking frameworks focus on 2D image sequences. T...
02/18/2019 ∙ by Yuan Wang, et al. ∙ 0 ∙ share

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An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain

In this paper, we present a generative retrieval method for sponsored se...
02/02/2019 ∙ by Yijiang Lian, et al. ∙ 0 ∙ share

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Efficient Reinforcement Learning with a Mind-Game for Full-Length StarCraft II

StarCraft II provides an extremely challenging platform for reinforcemen...
03/02/2019 ∙ by Ruo-Ze Liu, et al. ∙ 0 ∙ share

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A Novel Dual-Lidar Calibration Algorithm Using Planar Surfaces

Multiple lidars are prevalently used on mobile vehicles for rendering a ...
04/27/2019 ∙ by Jianhao Jiao, et al. ∙ 0 ∙ share

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Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice

Recently, deep models have been successfully applied in several applicat...
04/15/2019 ∙ by Mayukh Das, et al. ∙ 0 ∙ share

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Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images

Goal: Squamous cell carcinoma of cervix is one of the most prevalent can...
05/27/2019 ∙ by Ye Tian, 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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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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Automatic Calibration of Multiple 3D LiDARs in Urban Environments

Multiple LiDARs have progressively emerged on autonomous vehicles for re...
05/13/2019 ∙ by Jianhao Jiao, et al. ∙ 0 ∙ 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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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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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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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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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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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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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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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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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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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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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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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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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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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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Yang Yu

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