| Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information | 0 | 0.34 | 2021 |
| Can We Improve Model Robustness through Secondary Attribute Counterfactuals? | 0 | 0.34 | 2021 |
| Improving Calibration through the Relationship with Adversarial Robustness. | 0 | 0.34 | 2021 |
| Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities | 0 | 0.34 | 2021 |
| Enhancing Neural Recommender Models through Domain-Specific Concordance | 0 | 0.34 | 2021 |
| Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning | 0 | 0.34 | 2021 |
| Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems | 0 | 0.34 | 2021 |
| CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. | 1 | 0.35 | 2020 |
| Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances | 11 | 0.52 | 2020 |
| Fairness without Demographics through Adversarially Reweighted Learning | 0 | 0.34 | 2020 |
| Fairness in Recommendation Ranking through Pairwise Comparisons. | 24 | 0.73 | 2019 |
| Transfer of Machine Learning Fairness across Domains. | 0 | 0.34 | 2019 |
| Towards Neural Mixture Recommender for Long Range Dependent User Sequences | 4 | 0.48 | 2019 |
| SageDB - A Learned Database System. | 4 | 0.38 | 2019 |
| Top-K Off-Policy Correction for a REINFORCE Recommender System. | 36 | 1.00 | 2019 |
| Latent Cross: Making Use of Context in Recurrent Recommender Systems. | 50 | 1.25 | 2018 |
| Q&R: A Two-Stage Approach toward Interactive Recommendation. | 12 | 0.55 | 2018 |
| The Case for Learned Index Structures | 67 | 1.91 | 2018 |
| Categorical-attributes-based item classification for recommender systems. | 2 | 0.38 | 2018 |
| Recurrent Recommender Networks. | 54 | 1.50 | 2017 |
| Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations. | 15 | 0.91 | 2017 |
| OEC: Open-Ended Classification for Future-Proof Link-Fraud Detection. | 0 | 0.34 | 2017 |
| Graph-Based Fraud Detection in the Face of Camouflage | 8 | 0.46 | 2017 |
| Joint training of ratings and reviews with recurrent recommender networks | 1 | 0.35 | 2017 |
| Beyond Globally Optimal: Focused Learning for Improved Recommendations. | 19 | 0.77 | 2017 |
| Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach. | 14 | 0.60 | 2016 |
| Inferring lockstep behavior from connectivity pattern in large graphs | 14 | 0.56 | 2016 |
| TerraNNI: Natural Neighbor Interpolation on 2D and 3D Grids Using a GPU. | 1 | 0.38 | 2016 |
| Explaining Reviews and Ratings with PACO: Poisson Additive Co-Clustering. | 6 | 0.41 | 2016 |
| FRAUDAR: Bounding Graph Fraud in the Face of Camouflage | 50 | 1.13 | 2016 |
| Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms. | 12 | 0.50 | 2016 |
| ND-Sync: Detecting Synchronized Fraud Activities | 14 | 0.62 | 2015 |
| Fraud Detection through Graph-Based User Behavior Modeling | 6 | 0.54 | 2015 |
| Graph-Based User Behavior Modeling: From Prediction to Fraud Detection | 2 | 0.38 | 2015 |
| ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly. | 14 | 0.61 | 2015 |
| BIRDNEST: Bayesian Inference for Ratings-Fraud Detection | 26 | 0.77 | 2015 |
| A General Suspiciousness Metric for Dense Blocks in Multimodal Data | 34 | 1.04 | 2015 |
| CoBaFi: collaborative bayesian filtering | 21 | 0.72 | 2014 |
| Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective | 30 | 0.90 | 2014 |
| Detecting suspicious following behavior in multimillion-node social networks | 11 | 0.55 | 2014 |
| CatchSync: catching synchronized behavior in large directed graphs | 67 | 1.65 | 2014 |
| Inferring Strange Behavior from Connectivity Pattern in Social Networks. | 31 | 1.03 | 2014 |
| Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data. | 1 | 0.41 | 2014 |
| FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop. | 44 | 1.27 | 2014 |
| CopyCatch: stopping group attacks by spotting lockstep behavior in social networks | 101 | 2.42 | 2013 |
| Network Anomaly Detection Using Co-clustering. | 15 | 0.82 | 2012 |
| Interacting viruses in networks: can both survive? | 36 | 1.27 | 2012 |
| Winner takes all: competing viruses or ideas on fair-play networks | 46 | 1.75 | 2012 |
| TerraNNI: natural neighbor interpolation on a 3D grid using a GPU | 4 | 0.50 | 2011 |
| Natural neighbor interpolation based grid DEM construction using a GPU | 9 | 0.74 | 2010 |
