Martha White

发表

Convex Multi-view Subspace Learning

Martha White, Yaoliang Yu, Xinhua Zhang, 2012, NIPS.

Recovering True Classifier Performance in Positive-Unlabeled Learning

Martha White, Predrag Radivojac, Shantanu Jain, 2017, AAAI.

Supervised autoencoders: Improving generalization performance with unsupervised regularizers

Martha White, Lei Le, Andrew Patterson, 2018, NeurIPS.

Linear Off-Policy Actor-Critic pdf

Martha White, Richard S. Sutton, Thomas Degris, 2012, ICML.

Unifying Task Specification in Reinforcement Learning pdf

Martha White, Martha White, 2016, ICML.

Erratum to: Scalable metric learning for co-embedding

Martha White, Dale Schuurmans, András György, 2015 .

Investigating Practical Linear Temporal Difference Learning pdf

Martha White, Adam M. White, Martha White, 2016, AAMAS.

Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods pdf

Martha White, Richard S. Sutton, Adam White, 2018, ArXiv.

Multi-view Matrix Factorization for Linear Dynamical System Estimation

Martha White, Dale Schuurmans, Csaba Szepesvári, 2017, NIPS.

A Greedy Approach to Adapting the Trace Parameter for Temporal Difference Learning pdf

Martha White, Adam M. White, Martha White, 2016, AAMAS.

Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions

Martha White, Yaoliang Yu, Xinhua Zhang, 2011, AAAI.

Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return

Martha White, Richard S. Sutton, Adam White, 2018, UAI.

Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study pdf

Martha White, Adam White, Thomas Degris, 2019, ArXiv.

Adapting Kernel Representations Online Using Submodular Maximization

Martha White, Jiecao Chen, Matthew Schlegel, 2017, ICML.

Learning Sparse Representations in Reinforcement Learning with Sparse Coding pdf

Martha White, Lei Le, Raksha Kumaraswamy, 2017, IJCAI.

Context-Dependent Upper-Confidence Bounds for Directed Exploration

Martha White, Adam White, Matthew Schlegel, 2018, NeurIPS.

Discovery of Predictive Representations With a Network of General Value Functions

Martha White, Andrew Patterson, Adam White, 2018 .

Integrating Representation Learning and Temporal Difference Learning: A Matrix Factorization Approach

Martha White, 2014, AAAI 2014.

The Utility of Sparse Representations for Control in Reinforcement Learning

Martha White, Lei Le, Vincent Liu, 2018, AAAI.

General Value Function Networks pdf

Martha White, Andrew Patterson, Adam White, 2018, J. Artif. Intell. Res..

Identifying global optimality for dictionary learning

Martha White, Lei Le, Martha White, 2016, 1604.04942.

Importance Resampling for Off-policy Policy Evaluation

Martha White, Daniel Graves, Matthew Schlegel, 2018 .

Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control

Martha White, Daniel Nikovski, Amir-massoud Farahmand, 2018, ICML.

Accelerated Gradient Temporal Difference Learning

Martha White, Adam M. White, Yangchen Pan, 2016, AAAI.

An Off-policy Policy Gradient Theorem Using Emphatic Weightings

Martha White, Eric Graves, Ehsan Imani, 2018, NeurIPS.

Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains

Martha White, Andrew Patterson, Adam White, 2018, IJCAI.

Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling pdf

Martha White, Minghan Li, Ruicheng Li, 2018, ArXiv.

Relaxed Clipping: A Global Training Method for Robust Regression and Classification

Martha White, Yaoliang Yu, Dale Schuurmans, 2010, NIPS.

Partition Tree Weighting

Martha White, Joel Veness, Michael H. Bowling, 2012, 2013 Data Compression Conference.

Generalized Optimal Reverse Prediction

Martha White, Dale Schuurmans, Dale Schuurmans, 2012, AISTATS.

A general framework for reducing variance in agent evaluation

Martha White, Martha White, 2010 .

Emphatic Temporal-Difference Learning pdf

Martha White, Richard S. Sutton, Huizhen Yu, 2015, ArXiv.

Effective sketching methods for value function approximation pdf

Martha White, Erfan Sadeqi Azer, Yangchen Pan, 2017, UAI.

An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning pdf

Martha White, Richard S. Sutton, Ashique Rupam Mahmood, 2015, J. Mach. Learn. Res..

Scalable Metric Learning for Co-Embedding

Martha White, Dale Schuurmans, András György, 2015, ECML/PKDD.

Estimating the class prior and posterior from noisy positives and unlabeled data

Martha White, Predrag Radivojac, Shantanu Jain, 2016, NIPS.

The Barbados 2018 List of Open Issues in Continual Learning pdf

Martha White, Tom Schaul, Marc G. Bellemare, 2018, ArXiv.

High-confidence error estimates for learned value functions

Martha White, Wesley Chung, Touqir Sajed, 2018, UAI.

Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning

Martha White, Dale Schuurmans, Linli Xu, 2009, ICML '09.

Linear Off-Policy Actor-Critic

Martha White, Richard S. Sutton, Thomas Degris, 2012, ICML.

Meta-descent for Online, Continual Prediction pdf

Martha White, Adam White, Thomas Degris, 2019, AAAI.

Online Off-policy Prediction pdf

Martha White, Richard S. Sutton, Andrew Patterson, 2018, ArXiv.

Learning a Value Analysis Tool for Agent Evaluation

Martha White, Michael H. Bowling, Michael Bowling, 2009, IJCAI.

Two-Timescale Networks for Nonlinear Value Function Approximation

Martha White, Somjit Nath, Wesley Chung, 2019, ICLR.

Actor-Expert: A Framework for using Action-Value Methods in Continuous Action Spaces pdf

Martha White, Lei Le, Sungsu Lim, 2018, ArXiv.

Improving Regression Performance with Distributional Losses pdf

Martha White, Ehsan Imani, Martha White, 2018, ICML.

Global optimization of factor models using alternating minimization pdf

Martha White, Lei Le, Martha White, 2016, ArXiv.

Hill Climbing on Value Estimates for Search-control in Dyna

Martha White, Hengshuai Yao, Amir-massoud Farahmand, 2019, IJCAI.

Importance Resampling for Off-policy Prediction

Martha White, Daniel Graves, Matthew Schlegel, 2019, NeurIPS.

Meta-Learning Representations for Continual Learning

Martha White, Khurram Javed, Martha White, 2019, NeurIPS.

Nonparametric semi-supervised learning of class proportions pdf

Martha White, Predrag Radivojac, Shantanu Jain, 2016, ArXiv.

Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains

Martha White, Adam M. White, Martha White, 2010, NIPS.

Optimal Estimation of Multivariate ARMA Models

Martha White, Dale Schuurmans, Michael H. Bowling, 2015, AAAI.

Regularized factor models

Martha White, M. White, 2015 .

Planning with Expectation Models

Martha White, Yi Wan, Richard S. Sutton, 2019, IJCAI.

Scalable Online Recurrent Learning Using Columnar Neural Networks pdf

Martha White, Khurram Javed, Rich Sutton, 2021, ArXiv.

Understanding Feature Transfer Through Representation Alignment pdf

Martha White, Wei Hu, Ehsan Imani, 2021, ArXiv.

An Alternate Policy Gradient Estimator for Softmax Policies pdf

Martha White, Shivam Garg, Samuele Tosatto, 2021, ArXiv.

A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning pdf

Martha White, Adam White, Sina Ghiassian, 2021, ArXiv.

Predictive Representation Learning for Language Modeling pdf

Qingfeng Lan, Martha White, Alona Fyshe, 2021, ArXiv.

Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences pdf

Martha White, Tadashi Kozuno, A. Rupam Mahmood, 2021, ArXiv.

Off-Policy Actor-Critic with Emphatic Weightings pdf

Martha White, Eric Graves, Ehsan Imani, 2021, ArXiv.

Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online

Martha White, Yangchen Pan, Kirby Banman, 2019, ICLR.

Exploiting Action Impact Regularity and Partially Known Models for Offline Reinforcement Learning pdf

Martha White, Vincent Liu, James Wright, 2021, ArXiv.

Stable predictive representations with general value functions for continual learning

Martha White, Adam White, Matthew Schlegel, 2016 .

Selective Dyna-style Planning Under Limited Model Capacity pdf

Martha White, Samuel Sokota, Erin J. Talvitie, 2020, ICML.

Optimizing for the Future in Non-Stationary MDPs pdf

Martha White, Sridhar Mahadevan, Philip S. Thomas, 2020, ICML.