Alex Beutel

发表

Categorical-Attributes-Based Multi-Level Classification for Recommender Systems

Ed H. Chi, Minmin Chen, Francois Belletti, 2018 .

Explaining Reviews and Ratings with PACO: Poisson Additive Co-Clustering

Alexander J. Smola, Amr Ahmed, Alex Beutel, 2015, WWW.

Graph-Based Fraud Detection in the Face of Camouflage

Hyun Ah Song, Christos Faloutsos, Bryan Hooi, 2017, ACM Trans. Knowl. Discov. Data.

Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms

Christos Faloutsos, Peng Cui, Bryan Hooi, 2016, IEEE Transactions on Knowledge and Data Engineering.

Recurrent Recommender Networks

Alex Beutel, Alex Smola, Chao-Yuan Wu, 2017, WSDM.

Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data

Eric P. Xing, Qirong Ho, Alex Beutel, 2014, AISTATS.

Counterfactual Fairness in Text Classification through Robustness

Ankur Taly, Ed H. Chi, Ed Huai-hsin Chi, 2018, AIES.

Toward a better trade-off between performance and fairness with kernel-based distribution matching pdf

Ed H. Chi, Qiuwen Chen, Jilin Chen, 2019, ArXiv.

Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective

Christos Faloutsos, Brian Gallagher, Neil Shah, 2014, 2014 IEEE International Conference on Data Mining.

Measuring Recommender System Effects with Simulated Users pdf

Ed H. Chi, Jilin Chen, Alex Beutel, 2021, ArXiv.

Beyond Globally Optimal: Focused Learning for Improved Recommendations

John R. Anderson, Ed H. Chi, Ed Huai-hsin Chi, 2017, WWW.

Elastic Distributed Bayesian Collaborative Filtering

Markus Weimer, Alex Beutel, Vijay Narayanan, 2014 .

ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly

Alexander J. Smola, Amr Ahmed, Alex Beutel, 2014, WWW.

SageDB: A Learned Database System

Tim Kraska, Samuel Madden, Hongzi Mao, 2019, CIDR.

Fraud Detection through Graph-Based User Behavior Modeling

Christos Faloutsos, Leman Akoglu, Alex Beutel, 2015, CCS.

Improving Uncertainty Estimates through the Relationship with Adversarial Robustness pdf

Ed H. Chi, Xuezhi Wang, Alex Beutel, 2020, ArXiv.

Fairness in Recommendation Ranking through Pairwise Comparisons

Ed H. Chi, Zhe Zhao, Lichan Hong, 2019, KDD.

A Composite of Heterogeneous Sources Recommenders (CHR)

Jingyu Sun, Jason Weston, Xiangnan He, 2020 .

Measuring and Reducing Gendered Correlations in Pre-trained Models pdf

Slav Petrov, Emily Pitler, Ellie Pavlick, 2020, ArXiv.

FACTS-IR: Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval

Iadh Ounis, M. de Rijke, Gabriella Kazai, 2019 .

Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances

Grace Hui Yang, Weinan Zhang, Li Zhao, 2020, SIGIR.

Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations pdf

Zhe Zhao, Ed H. Chi, Ed Huai-hsin Chi, 2017, ArXiv.

CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation

Kang Li, Ed H. Chi, Xuezhi Wang, 2020, EMNLP.

CopyCatch: stopping group attacks by spotting lockstep behavior in social networks

Venkatesan Guruswami, Christos Faloutsos, Alex Beutel, 2013, WWW.

OEC: Open-Ended Classification for Future-Proof Link-Fraud Detection pdf

Christos Faloutsos, Hemank Lamba, Neil Shah, 2017, ArXiv.

Top-K Off-Policy Correction for a REINFORCE Recommender System

Ed H. Chi, Ed Huai-hsin Chi, Minmin Chen, 2018, WSDM.

Network Anomaly Detection Using Co-clustering

Peter Steenkiste, Evangelos E. Papalexakis, Alex Beutel, 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems

Ed H. Chi, Xuezhi Wang, Alex Beutel, 2019 .

ND-Sync: Detecting Synchronized Fraud Activities

Christos Faloutsos, Athena Vakali, Neil Shah, 2015, PAKDD.

Network Anomaly Detection Using Co-clustering

Peter Steenkiste, Evangelos E. Papalexakis, Alex Beutel, 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

CatchSync: catching synchronized behavior in large directed graphs

Christos Faloutsos, Peng Cui, Shiqiang Yang, 2014, KDD.

Natural neighbor interpolation based grid DEM construction using a GPU

Pankaj K. Agarwal, Alex Beutel, Thomas Mølhave, 2010, GIS '10.

Joint Training of Ratings and Reviews with Recurrent Recommender Networks

Alexander J. Smola, Amr Ahmed, Alex Beutel, 2016, ICLR.

Latent Cross: Making Use of Context in Recurrent Recommender Systems

Jia Li, Ed H. Chi, Ed Huai-hsin Chi, 2018, WSDM.

Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems pdf

Ed H. Chi, Jilin Chen, Alex Beutel, 2019, ArXiv.

Interacting viruses in networks: can both survive?

Christos Faloutsos, Ronald Rosenfeld, B. Aditya Prakash, 2012, KDD.

Categorical-attributes-based item classification for recommender systems

Qian Zhao, Ed H. Chi, Ed Huai-hsin Chi, 2018, RecSys.

Catching Synchronized Behaviors in Large Networks

Christos Faloutsos, Peng Cui, Shiqiang Yang, 2016, ACM Trans. Knowl. Discov. Data.

The Many Faces of Link Fraud

Christos Faloutsos, Hemank Lamba, Neil Shah, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

The Case for Learned Index Structures

Tim Kraska, Neoklis Polyzotis, Ed H. Chi, 2018 .

TerraNNI: Natural Neighbor Interpolation on 2D and 3D Grids Using a GPU

Pankaj K. Agarwal, Alex Beutel, Thomas Mølhave, 2016, TSAS.

Winner takes all: competing viruses or ideas on fair-play networks

Christos Faloutsos, Ronald Rosenfeld, B. Aditya Prakash, 2012, WWW.

Fairness without Demographics through Adversarially Reweighted Learning pdf

Ed H. Chi, Jilin Chen, Alex Beutel, 2020, NeurIPS.

Network Anomaly Detection Using Co-clustering

Peter Steenkiste, Evangelos E. Papalexakis, Alex Beutel, 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements

Allison Woodruff, Ed H. Chi, Jonathan Bischof, 2019, AIES.

Detecting suspicious following behavior in multimillion-node social networks

Christos Faloutsos, Peng Cui, Shiqiang Yang, 2014, WWW.

Factorized Recurrent Neural Architectures for Longer Range Dependence

Ed H. Chi, Ed Huai-hsin Chi, Francois Belletti, 2018, AISTATS.

FRAUDAR: Bounding Graph Fraud in the Face of Camouflage

Hyun Ah Song, Christos Faloutsos, Bryan Hooi, 2016, KDD.

EdgeCentric: Anomaly Detection in Edge-Attributed Networks

Christos Faloutsos, Leman Akoglu, Stephan Günnemann, 2015, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).

Q&R: A Two-Stage Approach toward Interactive Recommendation

Konstantina Christakopoulou, Rui Li, Ed H. Chi, 2018, KDD.

FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop

Christos Faloutsos, Eric P. Xing, Partha Pratim Talukdar, 2014, SDM.

Graph-Based User Behavior Modeling: From Prediction to Fraud Detection

Christos Faloutsos, Leman Akoglu, Alex Beutel, 2015, KDD.

CoBaFi: collaborative bayesian filtering

Alexander J. Smola, Christos Faloutsos, Alex Beutel, 2014, WWW.

Underspecification Presents Challenges for Credibility in Modern Machine Learning pdf

Alexander D'Amour, Andrea Montanari, Xiaohua Zhai, 2020, J. Mach. Learn. Res..

Towards Neural Mixture Recommender for Long Range Dependent User Sequences

Ed H. Chi, Ed Huai-hsin Chi, Minmin Chen, 2019, WWW.

BIRDNEST: Bayesian Inference for Ratings-Fraud Detection pdf

Christos Faloutsos, Leman Akoglu, Stephan Günnemann, 2015, SDM.

Inferring Strange Behavior from Connectivity Pattern in Social Networks

Christos Faloutsos, Peng Cui, Shiqiang Yang, 2014, PAKDD.

Inferring lockstep behavior from connectivity pattern in large graphs

Christos Faloutsos, Peng Cui, Shiqiang Yang, 2016, Knowledge and Information Systems.

A General Suspiciousness Metric for Dense Blocks in Multimodal Data

Christos Faloutsos, Peng Cui, Bryan Hooi, 2015, 2015 IEEE International Conference on Data Mining.

Transfer of Machine Learning Fairness across Domains pdf

Ed H. Chi, Jilin Chen, Alex Beutel, 2019, ArXiv.

TerraNNI: natural neighbor interpolation on a 3D grid using a GPU

Arnold P. Boedihardjo, Pankaj K. Agarwal, Alex Beutel, 2011, GIS.

Learned Indexes for a Google-scale Disk-based Database pdf

Tim Kraska, Christopher Olston, Ed H. Chi, 2020, ArXiv.

Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information

Pranjal Awasthi, Jamie Morgenstern, Alex Beutel, 2021, FAccT.

Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities

Konstantina Christakopoulou, Craig Boutilier, Ed H. Chi, 2021, WWW.

Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning

Ed H. Chi, Alex Beutel, Xuezhi Wang, 2021, KDD.

Can We Improve Model Robustness through Secondary Attribute Counterfactuals?

Ananth Balashankar, Ed H. Chi, Ed Huai-hsin Chi, 2021, EMNLP.

Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective

Ed H. Chi, Pranjal Awasthi, Alex Beutel, 2021, AIES.

Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation pdf

Balaji Lakshminarayanan, Alex Beutel, Xuezhi Wang, 2021, ArXiv.

Enhancing Neural Recommender Models through Domain-Specific Concordance

Ananth Balashankar, Lakshminarayanan Subramanian, Alex Beutel, 2021, WSDM.

Measuring and Reducing Gendered Correlations in Pre-trained Models pdf

Slav Petrov, Emily Pitler, Ellie Pavlick, 2020, ArXiv.

Lifting the Curse of Multidimensional Data with Learned Existence Indexes

Tim Kraska, Ed H. Chi, Stephen Macke, 2018 .