Alert button
Picture for Tengyu Ma

Tengyu Ma

Alert button

Simplifying Models with Unlabeled Output Data

Jun 29, 2020
Sang Michael Xie, Tengyu Ma, Percy Liang

Figure 1 for Simplifying Models with Unlabeled Output Data
Figure 2 for Simplifying Models with Unlabeled Output Data
Figure 3 for Simplifying Models with Unlabeled Output Data
Figure 4 for Simplifying Models with Unlabeled Output Data
Viaarxiv icon

Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization

Jun 29, 2020
Kaidi Cao, Yining Chen, Junwei Lu, Nikos Arechiga, Adrien Gaidon, Tengyu Ma

Figure 1 for Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
Figure 2 for Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
Figure 3 for Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
Figure 4 for Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
Viaarxiv icon

Active Online Domain Adaptation

Jun 25, 2020
Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhang

Figure 1 for Active Online Domain Adaptation
Viaarxiv icon

Federated Accelerated Stochastic Gradient Descent

Jun 19, 2020
Honglin Yuan, Tengyu Ma

Figure 1 for Federated Accelerated Stochastic Gradient Descent
Figure 2 for Federated Accelerated Stochastic Gradient Descent
Figure 3 for Federated Accelerated Stochastic Gradient Descent
Figure 4 for Federated Accelerated Stochastic Gradient Descent
Viaarxiv icon

Individual Calibration with Randomized Forecasting

Jun 18, 2020
Shengjia Zhao, Tengyu Ma, Stefano Ermon

Figure 1 for Individual Calibration with Randomized Forecasting
Figure 2 for Individual Calibration with Randomized Forecasting
Figure 3 for Individual Calibration with Randomized Forecasting
Figure 4 for Individual Calibration with Randomized Forecasting
Viaarxiv icon

Shape Matters: Understanding the Implicit Bias of the Noise Covariance

Jun 18, 2020
Jeff Z. HaoChen, Colin Wei, Jason D. Lee, Tengyu Ma

Figure 1 for Shape Matters: Understanding the Implicit Bias of the Noise Covariance
Viaarxiv icon

Self-training Avoids Using Spurious Features Under Domain Shift

Jun 17, 2020
Yining Chen, Colin Wei, Ananya Kumar, Tengyu Ma

Figure 1 for Self-training Avoids Using Spurious Features Under Domain Shift
Figure 2 for Self-training Avoids Using Spurious Features Under Domain Shift
Figure 3 for Self-training Avoids Using Spurious Features Under Domain Shift
Figure 4 for Self-training Avoids Using Spurious Features Under Domain Shift
Viaarxiv icon

Model-based Adversarial Meta-Reinforcement Learning

Jun 16, 2020
Zichuan Lin, Garrett Thomas, Guangwen Yang, Tengyu Ma

Figure 1 for Model-based Adversarial Meta-Reinforcement Learning
Figure 2 for Model-based Adversarial Meta-Reinforcement Learning
Figure 3 for Model-based Adversarial Meta-Reinforcement Learning
Figure 4 for Model-based Adversarial Meta-Reinforcement Learning
Viaarxiv icon

MOPO: Model-based Offline Policy Optimization

May 27, 2020
Tianhe Yu, Garrett Thomas, Lantao Yu, Stefano Ermon, James Zou, Sergey Levine, Chelsea Finn, Tengyu Ma

Figure 1 for MOPO: Model-based Offline Policy Optimization
Figure 2 for MOPO: Model-based Offline Policy Optimization
Figure 3 for MOPO: Model-based Offline Policy Optimization
Figure 4 for MOPO: Model-based Offline Policy Optimization
Viaarxiv icon