p7stat.AP

stat.AP

51 papers

WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling

Hao Zhang, Bo Chen, Dandan Guo, Mingyuan Zhou

1803.01328

MetaLDA: a Topic Model that Efficiently Incorporates Meta information

He Zhao, Lan Du, Wray Buntine, Gang Liu

1709.06365

Off-grid Direction of Arrival Estimation Using Sparse Bayesian Inference

Zai Yang, Lihua Xie, Cishen Zhang

1108.5838

BART: Bayesian additive regression trees

Hugh A. Chipman, Edward I. George, Robert E. McCulloch

0806.3286

Edward: A library for probabilistic modeling, inference, and criticism

Dustin Tran, Alp Kucukelbir, Adji B. Dieng, Maja Rudolph, Dawen Liang, David M. Blei

1610.09787

Characterizing the Google Books corpus: Strong limits to inferences of socio-cultural and linguistic evolution

Eitan Adam Pechenick, Christopher M. Danforth, Peter Sheridan Dodds

1501.00960

Semi-supervised Vocabulary-informed Learning

Yanwei Fu, Leonid Sigal

1604.07093

Fairer and more accurate, but for whom?

Alexandra Chouldechova, Max G'Sell

1707.00046

A trust-region method for stochastic variational inference with applications to streaming data

Lucas Theis, Matthew D. Hoffman

1505.07649

Algorithmic decision making and the cost of fairness

Sam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, Aziz Huq

1701.08230

Adaptive design and analysis of supercomputer experiments

Robert B. Gramacy, Herbert K. H. Lee

0805.4359

Network exploration via the adaptive LASSO and SCAD penalties

Jianqing Fan, Yang Feng, Yichao Wu

0908.2053

Stationary signal processing on graphs

Nathanaël Perraudin, Pierre Vandergheynst

1601.02522

Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices

Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou

1512.08996

A Supervised Approach to Extractive Summarisation of Scientific Papers

Ed Collins, Isabelle Augenstein, Sebastian Riedel

1706.03946

Lognormal and Gamma Mixed Negative Binomial Regression

Mingyuan Zhou, Lingbo Li, David Dunson, Lawrence Carin

1206.6456

Supersparse Linear Integer Models for Optimized Medical Scoring Systems

Berk Ustun, Cynthia Rudin

1502.04269

Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations

Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna Wallach

1606.01855

Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

Alexandra Chouldechova

1610.07524

Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model

Benjamin Letham, Cynthia Rudin, Tyler H. McCormick, David Madigan

1511.01644

Boosting the concordance index for survival data - a unified framework to derive and evaluate biomarker combinations

Andreas Mayr, Matthias Schmid

1307.6417

Prediction-Based Decisions and Fairness: A Catalogue of Choices, Assumptions, and Definitions

Shira Mitchell, Eric Potash, Solon Barocas, Alexander D'Amour, Kristian Lum

1811.07867

A survey on measuring indirect discrimination in machine learning

Indre Zliobaite

1511.00148

Online Censoring for Large-Scale Regressions with Application to Streaming Big Data

Dimitris Berberidis, Vassilis Kekatos, Georgios B. Giannakis

1507.07536

Hyperbolic normal stochastic volatility model

Jaehyuk Choi, Chenru Liu, Byoung Ki Seo

1809.04035

Doubly Robust Policy Evaluation and Learning

Miroslav Dudik, John Langford, Lihong Li

1103.4601

Simple rules for complex decisions

Jongbin Jung, Connor Concannon, Ravi Shroff, Sharad Goel, Daniel G. Goldstein

1702.04690

Culturomics meets random fractal theory: Insights into long-range correlations of social and natural phenomena over the past two centuries

Jianbo Gao, Jing Hu, Xiang Mao, Matjaz Perc

1202.5299

Bayesian treed Gaussian process models with an application to computer modeling

Robert B. Gramacy, Herbert K. H. Lee

0710.4536

On overfitting and post-selection uncertainty assessments

Liang Hong, Todd A. Kuffner, Ryan Martin

1712.02379

Causal mechanism of extreme river discharges in the upper Danube basin network

Linda Mhalla, Valérie Chavez-Demoulin, Debbie J. Dupuis

1907.03555

Detecting Community Structures in Hi-C Genomic Data

Irineo Cabreros, Emmanuel Abbe, Aristotelis Tsirigos

1509.05121

Counterfactual Risk Assessments, Evaluation, and Fairness

Amanda Coston, Alan Mishler, Edward H. Kennedy, Alexandra Chouldechova

1909.00066

Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations

Patrick R. Conrad, Youssef M. Marzouk, Natesh S. Pillai, Aaron Smith

1402.1694

Frame theory in directional statistics

Martin Ehler, Jennifer Galanis

1101.0122

Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar

2307.01928

Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved

Jiahao Chen, Nathan Kallus, Xiaojie Mao, Geoffry Svacha, Madeleine Udell

1811.11154

Peeking Inside the Black Box: Visualizing Statistical Learning with Plots of Individual Conditional Expectation

Alex Goldstein, Adam Kapelner, Justin Bleich, Emil Pitkin

1309.6392

Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment

Chelsea Barabas, Karthik Dinakar, Joichi Ito, Madars Virza, Jonathan Zittrain

1712.08238

Large image datasets: A pyrrhic win for computer vision?

Vinay Uday Prabhu, Abeba Birhane

2006.16923

A mixed effects model for longitudinal relational and network data, with applications to international trade and conflict

Anton H. Westveld, Peter D. Hoff

1009.1436

Antisocial Behavior in Online Discussion Communities

Justin Cheng, Cristian Danescu-Niculescu-Mizil, Jure Leskovec

1504.00680

Unbiased Risk Estimates for Singular Value Thresholding and Spectral Estimators

Emmanuel J. Candes, Carlos A. Sing-Long, Joshua D. Trzasko

1210.4139

Bayesian inference for exponential random graph models

Alberto Caimo, Nial Friel

1007.5192

Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables

Yichi Zhang, Daniel Apley, Wei Chen

1910.01688

A correlated topic model of Science

David M. Blei, John D. Lafferty

0708.3601

Cooperative Parallel Particle Filters for online model selection and applications to Urban Mobility

Luca Martino, Jesse Read, Victor Elvira, Francisco Louzada

1609.07731

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

José M. Bioucas-Dias, Antonio Plaza, Nicolas Dobigeon, Mario Parente, Qian Du, Paul Gader, Jocelyn Chanussot

1202.6294

Smoothing proximal gradient method for general structured sparse regression

Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing

1005.4717

Statistical Inference in Mean-Field Variational Bayes

Wei Han, Yun Yang

1911.01525

GIF: Generative Interpretable Faces

Partha Ghosh, Pravir Singh Gupta, Roy Uziel, Anurag Ranjan, Michael Black, Timo Bolkart

2009.00149