Gavin Taylor

发表

Information-driven adaptive sensing based on deep reinforcement learning

Frank Alexander Kraemer, Kerstin Bach, Abdulmajid Murad, 2020, IOT.

Transferable Clean-Label Poisoning Attacks on Deep Neural Nets pdf

Tom Goldstein, Christoph Studer, Ali Shafahi, 2019, ICML.

Layer-Specific Adaptive Learning Rates for Deep Networks

Bharat Singh, Thomas Goldstein, Gavin Taylor, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Introduction to the Symposium on AI and the Mitigation of Human Error

Donald A. Sofge, Gavin Taylor, Ranjeev Mittu, 2016, AAAI Spring Symposia.

IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning

Frank Alexander Kraemer, Kerstin Bach, Abdulmajid Murad, 2019, IOT.

Variance Reduction for Distributed Stochastic Gradient Descent pdf

Tom Goldstein, Gavin Taylor, Soham De, 2015, ArXiv.

Adaptive Consensus ADMM for Distributed Optimization pdf

Zheng Xu, Xiaoming Yuan, Tom Goldstein, 2017, ICML.

Kernelized value function approximation for reinforcement learning

Gavin Taylor, Ronald Parr, Ronald E. Parr, 2009, ICML '09.

MetaPoison: Practical General-purpose Clean-label Data Poisoning pdf

Jonas Geiping, Liam Fowl, Tom Goldstein, 2020, NeurIPS.

Blackbox Clean-Label Poisoning Attacks on Neural Networks

Chen Zhu, Tom Goldstein, Christoph Studer, 2019, ICML 2019.

Scalable Classifiers with ADMM and Transpose Reduction

Zheng Xu, Tom Goldstein, Gavin Taylor, 2017, AAAI Workshops.

Visualizing the Loss Landscape of Neural Nets

Hao Li, Tom Goldstein, Gavin Taylor, 2017, NeurIPS.

Hoaxing statistical features of the Voynich Manuscript

Gavin Taylor, Gordon Rugg, 2017, Cryptologia.

FLAG: Adversarial Data Augmentation for Graph Neural Networks pdf

Bernard Ghanem, Tom Goldstein, Gavin Taylor, 2020, ArXiv.

Training Neural Networks Without Gradients: A Scalable ADMM Approach

Zheng Xu, Tom Goldstein, Bharat Singh, 2016, ICML.

Feature Selection for Value Function Approximation

Gavin Taylor, Gavin Taylor, 2011 .

An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning

Lihong Li, Michael L. Littman, Gavin Taylor, 2008, ICML '08.

Scaling Up Distributed Stochastic Gradient Descent Using Variance Reduction pdf

Tom Goldstein, Gavin Taylor, Soham De, 2015, ArXiv.

Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction

Tom Goldstein, Gavin Taylor, Kent Sayre, 2015, AISTATS.

An Intensive Introductory Robotics Course Without Prerequisites

Gavin Taylor, Julian Mason, 2010, Enabling Intelligence through Middleware.

LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition pdf

Micah Goldblum, Tom Goldstein, Gavin Taylor, 2021, ICLR.

Towards Modeling the Behavior of Autonomous Systems and Humans for Trusted Operations

Joseph T. Coyne, Gavin Taylor, Ranjeev Mittu, 2014, AAAI Spring Symposia.

Adversarial Training for Free!

Larry S. Davis, Zheng Xu, Tom Goldstein, 2019, NeurIPS.

Value Function Approximation in Noisy Environments Using Locally Smoothed Regularized Approximate Linear Programs pdf

Gavin Taylor, Ronald Parr, Ronald E. Parr, 2012, UAI.

Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes

Marek Petrik, Shlomo Zilberstein, Gavin Taylor, 2010, ICML.

An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy

Gavin Taylor, Connor Geer, David Piekut, 2014, ICML.

Reports of the 2013 AAAI Spring Symposium Series

Sean Andrist, Takashi Kido, Andrew McCallum, 2013, AI Mag..

Reports on the 2015 AAAI Spring Symposium Series

Sean Andrist, Keiki Takadama, Oshani Seneviratne, 2015, AI Mag..

Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning

Frank Alexander Kraemer, Abdulmajid Murad, Gavin Taylor, 2019, 2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO).

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching pdf

Wojciech Czaja, Jonas Geiping, Liam Fowl, 2020, ArXiv.

Execute Order 66: Targeted Data Poisoning for Reinforcement Learning pdf

Liam Fowl, Tom Goldstein, Gavin Taylor, 2022, ArXiv.

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching pdf

Wojciech Czaja, Jonas Geiping, Liam Fowl, 2021, ICLR.

Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting

Frank Alexander Kraemer, Abdulmajid Murad, Gavin Taylor, 2021, Sensors.

FLAG: Adversarial Data Augmentation for Graph Neural Networks pdf

Bernard Ghanem, Tom Goldstein, Gavin Taylor, 2020, ArXiv.