Xingyou Song

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Google ∙ berkeley college

An Ode to an ODE

We present a new paradigm for Neural ODE algorithms, calledODEtoODE, whe...
06/19/2020 ∙ by Krzysztof Choromanski, et al. ∙ 18 ∙ share

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UFO-BLO: Unbiased First-Order Bilevel Optimization

Bilevel optimization (BLO) is a popular approach with many applications ...
06/05/2020 ∙ by Valerii Likhosherstov, et al. ∙ 7 ∙ share

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Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers

Transformer models have achieved state-of-the-art results across a diver...
06/05/2020 ∙ by Krzysztof Choromanski, et al. ∙ 10 ∙ share

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Robotic Table Tennis with Model-Free Reinforcement Learning

We propose a model-free algorithm for learning efficient policies capabl...
03/31/2020 ∙ by Wenbo Gao, et al. ∙ 18 ∙ share

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Stochastic Flows and Geometric Optimization on the Orthogonal Group

We present a new class of stochastic, geometrically-driven optimization ...
03/30/2020 ∙ by Krzysztof Choromanski, et al. ∙ 2 ∙ share

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Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning

Learning adaptable policies is crucial for robots to operate autonomousl...
03/02/2020 ∙ by Xingyou Song, et al. ∙ 6 ∙ share

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Observational Overfitting in Reinforcement Learning

A major component of overfitting in model-free reinforcement learning (R...
12/06/2019 ∙ by Xingyou Song, et al. ∙ 21 ∙ share

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Gradientless Descent: High-Dimensional Zeroth-Order Optimization

Zeroth-order optimization is the process of minimizing an objective f(x)...
11/14/2019 ∙ by Daniel Golovin, et al. ∙ 0 ∙ share

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ES-MAML: Simple Hessian-Free Meta Learning

We introduce ES-MAML, a new framework for solving the model agnostic met...
09/25/2019 ∙ by Xingyou Song, et al. ∙ 15 ∙ share

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Reinforcement Learning with Chromatic Networks

We present a new algorithm for finding compact neural networks encoding ...
07/10/2019 ∙ by Xingyou Song, et al. ∙ 5 ∙ share

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An Empirical Study on Hyperparameters and their Interdependence for RL Generalization

Recent results in Reinforcement Learning (RL) have shown that agents wit...
06/02/2019 ∙ by Xingyou Song, et al. ∙ 0 ∙ share

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The Principle of Unchanged Optimality in Reinforcement Learning Generalization

Several recent papers have examined generalization in reinforcement lear...
06/02/2019 ∙ by Alex Irpan, et al. ∙ 2 ∙ share

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Sentiment Predictability for Stocks

In this work, we present our findings and experiments for stock-market p...
12/15/2017 ∙ by Jordan Prosky, et al. ∙ 0 ∙ share

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Xingyou Song

Featured Co-authors

Honglak Lee

Chelsea Finn

Krzysztof Choromanski

Adrian Weller

Yuan Gao

Navdeep Jaitly

Zhang

Vikas Sindhwani

Aldo Pacchiano

Yunhao Tang

Jie Tan

An Ode to an ODE

UFO-BLO: Unbiased First-Order Bilevel Optimization

Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers

Robotic Table Tennis with Model-Free Reinforcement Learning

Stochastic Flows and Geometric Optimization on the Orthogonal Group

Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning

Observational Overfitting in Reinforcement Learning

Gradientless Descent: High-Dimensional Zeroth-Order Optimization

ES-MAML: Simple Hessian-Free Meta Learning

Reinforcement Learning with Chromatic Networks

An Empirical Study on Hyperparameters and their Interdependence for RL Generalization

The Principle of Unchanged Optimality in Reinforcement Learning Generalization

Sentiment Predictability for Stocks