Ziyu Wang

Bayesian Optimization in AlphaGo

During the development of AlphaGo, its many hyper-parameters were tuned ...
12/17/2018 ∙ by Yutian Chen, et al. ∙ 128 ∙ share

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Task-Relevant Adversarial Imitation Learning

We show that a critical problem in adversarial imitation from high-dimen...
10/02/2019 ∙ by Konrad Zolna, et al. ∙ 35 ∙ share

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Function Space Particle Optimization for Bayesian Neural Networks

While Bayesian neural networks (BNNs) have drawn increasing attention, t...
02/26/2019 ∙ by Ziyu Wang, et al. ∙ 24 ∙ share

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Making Efficient Use of Demonstrations to Solve Hard Exploration Problems

This paper introduces R2D3, an agent that makes efficient use of demonst...
09/03/2019 ∙ by Tom Le Paine, et al. ∙ 10 ∙ share

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A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models

Score matching provides an effective approach to learning flexible unnor...
02/18/2020 ∙ by Ziyu Wang, et al. ∙ 9 ∙ share

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Deep Music Analogy Via Latent Representation Disentanglement

Analogy is a key solution to automated music generation, featured by its...
06/09/2019 ∙ by Ruihan Yang, et al. ∙ 8 ∙ share

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The Usual Suspects? Reassessing Blame for VAE Posterior Collapse

In narrow asymptotic settings Gaussian VAE models of continuous data hav...
12/23/2019 ∙ by Bin Dai, et al. ∙ 7 ∙ share

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One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL

Humans are experts at high-fidelity imitation -- closely mimicking a dem...
10/11/2018 ∙ by Tom Le Paine, et al. ∙ 4 ∙ share

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A Framework for Automated Pop-song Melody Generation with Piano Accompaniment Arrangement

We contribute a pop-song automation framework for lead melody generation...
12/28/2018 ∙ by Ziyu Wang, et al. ∙ 4 ∙ share

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Playing hard exploration games by watching YouTube

Deep reinforcement learning methods traditionally struggle with tasks wh...
05/29/2018 ∙ by Yusuf Aytar, et al. ∙ 2 ∙ share

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The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously

This paper introduces the Intentional Unintentional (IU) agent. This age...
07/11/2017 ∙ by Serkan Cabi, et al. ∙ 0 ∙ share

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Emergence of Locomotion Behaviours in Rich Environments

The reinforcement learning paradigm allows, in principle, for complex be...
07/07/2017 ∙ by Nicolas Heess, et al. ∙ 0 ∙ share

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Parallel Multiscale Autoregressive Density Estimation

PixelCNN achieves state-of-the-art results in density estimation for nat...
03/10/2017 ∙ by Scott Reed, et al. ∙ 0 ∙ share

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Deep Fried Convnets

The fully connected layers of a deep convolutional neural network typica...
12/22/2014 ∙ by Zichao Yang, et al. ∙ 0 ∙ share

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Heteroscedastic Treed Bayesian Optimisation

Optimising black-box functions is important in many disciplines, such as...
10/27/2014 ∙ by John-Alexander M. Assael, et al. ∙ 0 ∙ share

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Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters

Bayesian optimisation has gained great popularity as a tool for optimisi...
06/30/2014 ∙ by Ziyu Wang, et al. ∙ 0 ∙ share

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Bayesian Multi-Scale Optimistic Optimization

Bayesian optimization is a powerful global optimization technique for ex...
02/27/2014 ∙ by Ziyu Wang, et al. ∙ 0 ∙ share

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Bayesian Optimization in a Billion Dimensions via Random Embeddings

Bayesian optimization techniques have been successfully applied to robot...
01/09/2013 ∙ by Ziyu Wang, et al. ∙ 0 ∙ share

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Self-Avoiding Random Dynamics on Integer Complex Systems

This paper introduces a new specialized algorithm for equilibrium Monte ...
11/23/2011 ∙ by Firas Hamze, et al. ∙ 0 ∙ share

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Bayesian Optimization for Adaptive MCMC

This paper proposes a new randomized strategy for adaptive MCMC using Ba...
10/29/2011 ∙ by Nimalan Mahendran, et al. ∙ 0 ∙ share

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Bayesian Optimisation for Machine Translation

This paper presents novel Bayesian optimisation algorithms for minimum e...
12/22/2014 ∙ by Yishu Miao, et al. ∙ 0 ∙ share

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Reinforcement and Imitation Learning for Diverse Visuomotor Skills

We propose a model-free deep reinforcement learning method that leverage...
02/26/2018 ∙ by Yuke Zhu, et al. ∙ 0 ∙ share

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Towards a Multi-Chain Future of Proof-of-Space

Proof-of-Space provides an intriguing alternative for consensus protocol...
07/18/2019 ∙ by Shuyang Tang, et al. ∙ 0 ∙ share

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A Framework for Data-Driven Robotics

We present a framework for data-driven robotics that makes use of a larg...
09/26/2019 ∙ by Serkan Cabi, et al. ∙ 0 ∙ share

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Incentive Analysis of Bitcoin-NG, Revisited

Bitcoin-NG is among the first blockchain protocols to approach the near-...
01/14/2020 ∙ by Jianyu Niu, et al. ∙ 0 ∙ share

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Ziyu Wang

Featured Co-authors

Jun Zhu

Bo Zhang

Le Song

Nando de Freitas

Nicolas Heess

Frank Hutter

Phil Blunsom

David Silver

Caglar Gulcehre

Alex Smola

Chen Feng

Bayesian Optimization in AlphaGo

Task-Relevant Adversarial Imitation Learning

Function Space Particle Optimization for Bayesian Neural Networks

Making Efficient Use of Demonstrations to Solve Hard Exploration Problems

A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models

Deep Music Analogy Via Latent Representation Disentanglement

The Usual Suspects? Reassessing Blame for VAE Posterior Collapse

One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL

A Framework for Automated Pop-song Melody Generation with Piano Accompaniment Arrangement

Playing hard exploration games by watching YouTube

The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously

Emergence of Locomotion Behaviours in Rich Environments

Parallel Multiscale Autoregressive Density Estimation

Deep Fried Convnets

Heteroscedastic Treed Bayesian Optimisation

Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters

Bayesian Multi-Scale Optimistic Optimization

Bayesian Optimization in a Billion Dimensions via Random Embeddings

Self-Avoiding Random Dynamics on Integer Complex Systems

Bayesian Optimization for Adaptive MCMC

Bayesian Optimisation for Machine Translation

Reinforcement and Imitation Learning for Diverse Visuomotor Skills

Towards a Multi-Chain Future of Proof-of-Space

A Framework for Data-Driven Robotics

Incentive Analysis of Bitcoin-NG, Revisited