Weiwei Pan

发表

Projected BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights

Finale Doshi-Velez, S. Ghosh, Jiayu Yao, 2018, 1811.07006.

Projected BNNs : Avoiding weight-space pathologies by projecting neural network weights

Finale Doshi-Velez, S. Ghosh, Jiayu Yao, 2018 .

Learned Uncertainty-Aware (LUNA) Bases for Bayesian Regression using Multi-Headed Auxiliary Networks pdf

Finale Doshi-Velez, Weiwei Pan, Yaniv Yacoby, 2020, ArXiv.

Amortised Variational Inference for Hierarchical Mixture Models

José Miguel Hernández-Lobato, Finale Doshi-Velez, Jiayu Yao, 2020 .

Mitigating Model Non-Identifiability in BNN with Latent Variables

Finale Doshi-Velez, Weiwei Pan, Yaniv Yacoby, 2019 .

Policy Optimization with Sparse Global Contrastive Explanations

Finale Doshi-Velez, S. Parbhoo, Weiwei Pan, 2022, 2207.06269.

Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables

Finale Doshi-Velez, Weiwei Pan, Yaniv Yacoby, 2019, J. Mach. Learn. Res..

Constrained Bayesian Neural Networks

John A. Paulson, Jiayu Yao, M. Pradier, 2019 .

Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models pdf

Pavlos Protopapas, Weiwei Pan, Marouan Belhaj, 2018, ArXiv.

Quality of Uncertainty Quantification for Bayesian Neural Network Inference pdf

Soumya Ghosh, Finale Doshi-Velez, Weiwei Pan, 2019, ArXiv.

Ensembles of Locally Independent Prediction Models

Finale Doshi-Velez, L. Celi, A. Ross, 2019, AAAI.

Learning Qualitatively Diverse and Interpretable Rules for Classification pdf

Andrew Slavin Ross, Finale Doshi-Velez, Weiwei Pan, 2018, ArXiv.

Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem pdf

Finale Doshi-Velez, Weiwei Pan, Yaniv Yacoby, 2019, ArXiv.

Promises and Pitfalls of Black-Box Concept Learning Models pdf

Finale Doshi-Velez, Weiwei Pan, Isaac Lage, 2021, ArXiv.

An Empirical Analysis of the Advantages of Finite- v.s. Infinite-Width Bayesian Neural Networks

Finale Doshi-Velez, Jiayu Yao, Weiwei Pan, 2022, ArXiv.

Power-Constrained Bandits pdf

Finale Doshi-Velez, Weiwei Pan, Susan Murphy, 2020, MLHC.

Wide Mean-Field Bayesian Neural Networks Ignore the Data

David R. Burt, Weiwei Pan, Beau Coker, 2022, AISTATS.

Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data pdf

Finale Doshi-Velez, Weiwei Pan, Beau Coker, 2021, ArXiv.

Power Constrained Bandit

S. Murphy, Jiayu Yao, Weiwei Pan, 2021 .

Latent Projection BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights pdf

Finale Doshi-Velez, Weiwei Pan, Soumya Ghosh, 2018, ArXiv.

Optimizing the Multiclass F-Measure via Biconcave Programming

Pavlos Protopapas, Harikrishna Narasimhan, Weiwei Pan, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

A Characterization of the Non-Uniqueness of Nonnegative Matrix Factorizations pdf

Finale Doshi-Velez, Weiwei Pan, Weiwei Pan, 2016, ArXiv.

The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning

S. Parbhoo, Weiwei Pan, Susan A. Murphy, 2023, International Conference on Machine Learning.

A general method for regularizing tensor decomposition methods via pseudo-data pdf

Finale Doshi-Velez, Weiwei Pan, Omer Gottesman, 2019, ArXiv.

SAP-sLDA: An Interpretable Interface for Exploring Unstructured Text

Weiwei Pan, F. Doshi-Velez, Charumathi Badrinath, 2023, arXiv.org.

Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders pdf

Finale Doshi-Velez, Weiwei Pan, Yaniv Yacoby, 2020, AABI.

Modeling Mobile Health Users as Reinforcement Learning Agents

S. Murphy, Weiwei Pan, Eura Shin, 2022, ArXiv.

Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks pdf

Finale Doshi-Velez, Yaniv Yacoby, Weiwei Pan, 2020, ArXiv.

Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry

Jiayu Yao, Weiwei Pan, F. Doshi-Velez, 2022, ArXiv.

Latent Projection BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights

Jiayu Yao, M. Pradier, Weiwei Pan, 2018, ArXiv.

BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty pdf

Finale Doshi-Velez, Yaniv Yacoby, Weiwei Pan, 2020, ArXiv.