Alex Beutel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
48
Venues
17
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
48 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | First-Person Fairness in Chatbots. | Tyna Eloundou, Alex Beutel, David G. Robinson, Keren Gu, Anna-Luisa Brakman, Pamela Mishkin, Meghan Shah, Johannes Heidecke, Lilian Weng, Adam Tauman Kalai |
| 2024 | ICML | Controlled Decoding from Language Models. | Sidharth Mudgal, Jong Lee, Harish Ganapathy, YaGuang Li, Tao Wang, Yanping Huang, Zhifeng Chen, Heng-Tze Cheng, Michael Collins, Trevor Strohman, Jilin Chen, Alex Beutel, Ahmad Beirami |
| 2023 | EMNLP | Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation. | Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Ed H. Chi, Jilin Chen, Alex Beutel |
| 2023 | EMNLP | Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. | Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen |
| 2023 | RecSys | Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders. | Yueqi Wang, Yoni Halpern, Shuo Chang, Jingchen Feng, Elaine Ya Le, Longfei Li, Xujian Liang, Min-Cheng Huang, Shane Li, Alex Beutel, Yaping Zhang, Shuchao Bi |
| 2022 | CIKM | A human-ML collaboration framework for improving video content reviews. | Meghana Deodhar, Xiao Ma, Yixin Cai, Alex Koes, Alex Beutel, Jilin Chen |
| 2021 | AIES | Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective. | Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang, Ed H. Chi, Jilin Chen, Alex Beutel |
| 2021 | EMNLP | Can We Improve Model Robustness through Secondary Attribute Counterfactuals? | Ananth Balashankar, Xuezhi Wang, Ben Packer, Nithum Thain, Ed H. Chi, Alex Beutel |
| 2021 | KDD | Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning. | Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi |
| 2021 | WWW | Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. | Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen |
| 2021 | WSDM | Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems. | Xuezhi Wang, Nithum Thain, Anu Sinha, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel |
| 2021 | WSDM | Enhancing Neural Recommender Models through Domain-Specific Concordance. | Ananth Balashankar, Alex Beutel, Lakshminarayanan Subramanian |
| 2020 | EMNLP | CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. | Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi |
| 2020 | SIGIR | Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances. | Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang, Alex Beutel |
| 2019 | AIES | Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements. | Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Allison Woodruff, Christine Luu, Pierre Kreitmann, Jonathan Bischof, Ed H. Chi |
| 2019 | AIES | Counterfactual Fairness in Text Classification through Robustness. | Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H. Chi, Alex Beutel |
| 2019 | CIDR | SageDB: A Learned Database System. | Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan |
| 2019 | KDD | Fairness in Recommendation Ranking through Pairwise Comparisons. | Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow |
| 2019 | WWW | Towards Neural Mixture Recommender for Long Range Dependent User Sequences. | Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi |
| 2019 | WSDM | Top-K Off-Policy Correction for a REINFORCE Recommender System. | Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi |
| 2018 | AISTATS | Factorized Recurrent Neural Architectures for Longer Range Dependence. | Francois Belletti, Alex Beutel, Sagar Jain, Ed Huai-hsin Chi |
| 2018 | KDD | Q&R: A Two-Stage Approach toward Interactive Recommendation. | Konstantina Christakopoulou, Alex Beutel, Rui Li, Sagar Jain, Ed H. Chi |
| 2018 | RecSys | Categorical-attributes-based item classification for recommender systems. | Qian Zhao, Jilin Chen, Minmin Chen, Sagar Jain, Alex Beutel, Francois Belletti, Ed H. Chi |
| 2018 | SIGMOD | The Case for Learned Index Structures. | Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, Neoklis Polyzotis |
| 2018 | WSDM | Latent Cross: Making Use of Context in Recurrent Recommender Systems. | Alex Beutel, Paul Covington, Sagar Jain, Can Xu, Jia Li, Vince Gatto, Ed H. Chi |
| 2017 | ICDM | The Many Faces of Link Fraud. | Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos |
| 2017 | ICLR | Joint Training of Ratings and Reviews with Recurrent Recommender Networks. | Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola |
| 2017 | WWW | Beyond Globally Optimal: Focused Learning for Improved Recommendations. | Alex Beutel, Ed Huai-hsin Chi, Zhiyuan Cheng, Hubert Pham, John R. Anderson |
| 2017 | WSDM | Recurrent Recommender Networks. | Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola, How Jing |
| 2016 | ICDM | EdgeCentric: Anomaly Detection in Edge-Attributed Networks. | Neil Shah, Alex Beutel, Bryan Hooi, Leman Akoglu, Stephan Gnnemann, Disha Makhija, Mohit Kumar, Christos Faloutsos |
| 2016 | KDD | FRAUDAR: Bounding Graph Fraud in the Face of Camouflage. | Bryan Hooi, Hyun Ah Song, Alex Beutel, Neil Shah, Kijung Shin, Christos Faloutsos |
| 2016 | WWW | Explaining Reviews and Ratings with PACO: Poisson Additive Co-Clustering. | Chao-Yuan Wu, Alex Beutel, Amr Ahmed, Alexander J. Smola |
| 2016 | SDM | BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. | Bryan Hooi, Neil Shah, Alex Beutel, Stephan Gnnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos |
| 2015 | CCS | Fraud Detection through Graph-Based User Behavior Modeling. | Alex Beutel, Leman Akoglu, Christos Faloutsos |
| 2015 | ICDM | A General Suspiciousness Metric for Dense Blocks in Multimodal Data. | Meng Jiang, Alex Beutel, Peng Cui, Bryan Hooi, Shiqiang Yang, Christos Faloutsos |
| 2015 | KDD | Graph-Based User Behavior Modeling: From Prediction to Fraud Detection. | Alex Beutel, Leman Akoglu, Christos Faloutsos |
| 2015 | PAKDD | ND-Sync: Detecting Synchronized Fraud Activities. | Maria Giatsoglou, Despoina Chatzakou, Neil Shah, Alex Beutel, Christos Faloutsos, Athena Vakali |
| 2015 | WWW | ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly. | Alex Beutel, Amr Ahmed, Alexander J. Smola |
| 2014 | AISTATS | Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data. | Abhimanu Kumar, Alex Beutel, Qirong Ho, Eric P. Xing |
| 2014 | ICDM | Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective. | Neil Shah, Alex Beutel, Brian Gallagher, Christos Faloutsos |
| 2014 | KDD | CatchSync: catching synchronized behavior in large directed graphs. | Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang |
| 2014 | PAKDD | Inferring Strange Behavior from Connectivity Pattern in Social Networks. | Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang |
| 2014 | WWW | CoBaFi: collaborative bayesian filtering. | Alex Beutel, Kenton Murray, Christos Faloutsos, Alexander J. Smola |
| 2014 | WWW | Detecting suspicious following behavior in multimillion-node social networks. | Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang |
| 2014 | SDM | FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop. | Alex Beutel, Partha Pratim Talukdar, Abhimanu Kumar, Christos Faloutsos, Evangelos E. Papalexakis, Eric P. Xing |
| 2013 | WWW | CopyCatch: stopping group attacks by spotting lockstep behavior in social networks. | Alex Beutel, Wanhong Xu, Venkatesan Guruswami, Christopher Palow, Christos Faloutsos |
| 2012 | KDD | Interacting viruses in networks: can both survive? | Alex Beutel, B. Aditya Prakash, Roni Rosenfeld, Christos Faloutsos |
| 2012 | WWW | Winner takes all: competing viruses or ideas on fair-play networks. | B. Aditya Prakash, Alex Beutel, Roni Rosenfeld, Christos Faloutsos |