NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (39)

math.ST2017

Quantifying the accuracy of approximate diffusions and Markov chains

Jonathan H. Huggins, James Zou

cs.LG2019

Concrete Autoencoders for Differentiable Feature Selection and Reconstruction

Abubakar Abid, Muhammad Fatih Balin, James Zou

stat.ML2018

Interpretation of Neural Networks is Fragile

Amirata Ghorbani, Abubakar Abid, James Zou

cs.CY2019

A Knowledge Graph-based Approach for Exploring the U.S. Opioid Epidemic

Maulik R. Kamdar, Tymor Hamamsy, Shea Shelton +4

cs.LG2019

Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild

Abubakar Abid, Ali Abdalla, Ali Abid +3

cs.CL2018

DeepTag: inferring all-cause diagnoses from clinical notes in under-resourced medical domain

Allen Nie, Ashley Zehnder, Rodney L. Page +4

stat.ML2017

Linear Regression with Shuffled Labels

Abubakar Abid, Ada Poon, James Zou

cs.LG2018

Minimizing Close-k Aggregate Loss Improves Classification

Bryan He, James Zou

cs.CL2018

Large-scale Generative Modeling to Improve Automated Veterinary Disease Coding

Yuhui Zhang, Allen Nie, James Zou

stat.ML2018

Stochastic EM for Shuffled Linear Regression

Abubakar Abid, James Zou

cs.GT2018

Contingent Payment Mechanisms for Resource Utilization

Hongyao Ma, Reshef Meir, David C. Parkes +1

stat.ME2017

NeuralFDR: Learning Discovery Thresholds from Hypothesis Features

Fei Xia, Martin J. Zhang, James Zou +1

cs.GT2016

Signal to noise in matching markets

S. Matthew Weinberg, James Zou

cs.CL2019

Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings

Dorottya Demszky, Nikhil Garg, Rob Voigt +4

cs.LG2019

Contrastive Variational Autoencoder Enhances Salient Features

Abubakar Abid, James Zou

cs.CL2017

Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context

Shyam Upadhyay, Kai-Wei Chang, Matt Taddy +2

q-bio.GN2018

Feedback GAN (FBGAN) for DNA: a Novel Feedback-Loop Architecture for Optimizing Protein Functions

Anvita Gupta, James Zou

stat.ML2016

Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation

Akash Srivastava, James Zou, Ryan P. Adams +1

cs.CL2018

CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions

Kevin Tian, Teng Zhang, James Zou

cs.LG2017

Estimating the unseen from multiple populations

Aditi Raghunathan, Greg Valiant, James Zou

cs.CL2017

Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes

Nikhil Garg, Londa Schiebinger, Dan Jurafsky +1

cs.LG2015

Intersecting Faces: Non-negative Matrix Factorization With New Guarantees

Rong Ge, James Zou

cs.CL2016

Quantifying and Reducing Stereotypes in Word Embeddings

Tolga Bolukbasi, Kai-Wei Chang, James Zou +2

stat.ML2019

Discovering Conditionally Salient Features with Statistical Guarantees

Jaime Roquero Gimenez, James Zou

stat.ML2019

Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization

Jaime Roquero Gimenez, James Zou

cs.LG2015

Rich Component Analysis

Rong Ge, James Zou

cs.CL2016

Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings

Tolga Bolukbasi, Kai-Wei Chang, James Zou +2

stat.ME2019

Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits

Martin J. Zhang, James Zou, David Tse

stat.ML2016

Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation

Akash Srivastava, James Zou, Charles Sutton

cs.GT2012

Mechanism Design for Time Critical and Cost Critical Task Execution via Crowdsourcing

Swaprava Nath, Pankaj Dayama, Dinesh Garg +2

cs.LG2018

Multiaccuracy: Black-Box Post-Processing for Fairness in Classification

Michael P. Kim, Amirata Ghorbani, James Zou

cs.AI2017

The Effects of Memory Replay in Reinforcement Learning

Ruishan Liu, James Zou

stat.ME2015

Incentive-Compatible Experimental Design

Panos Toulis, David C. Parkes, Elery Pfeffer +1

stat.ML2019

Data Shapley: Equitable Valuation of Data for Machine Learning

Amirata Ghorbani, James Zou

cs.LG2018

Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders

Abubakar Abid, James Zou

stat.ML2018

Contrastive Multivariate Singular Spectrum Analysis

Abdi-Hakin Dirie, Abubakar Abid, James Zou

stat.ML2017

Contrastive Principal Component Analysis

Abubakar Abid, Martin J. Zhang, Vivek K. Bagaria +1

stat.ML2019

Knockoffs for the mass: new feature importance statistics with false discovery guarantees

Jaime Roquero Gimenez, Amirata Ghorbani, James Zou

stat.ML2017

Why Adaptively Collected Data Have Negative Bias and How to Correct for It

Xinkun Nie, Xiaoying Tian, Jonathan Taylor +1