Jennifer Neville

187 papers A* 54A 20B 2Misc 2Journal 81Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DP-RFT: Learning to Generate Synthetic Text via Differentially Private Reinforcement Fine-Tuning. CoRR Fangyuan Xu, Sihao Chen, Zinan Lin, Taiwei Shi, Sydney Graham, Pei Zhou, Mengting Wan, Alex Stein, Virginia Estellers, Charles Chen, Morris Sharp, Richard Speyer, Tadas Baltrusaitis, Jennifer Neville, Eunsol Choi, Longqi Yang
2026	J	`jnl`	Reasoning about Reasoning: BAPO Bounds on Chain-of-Thought Token Complexity in LLMs. CoRR Kiran Tomlinson, Tobias Schnabel, Adith Swaminathan, Jennifer Neville
2025	J	`jnl`	Flipping the Dialogue: Training and Evaluating User Language Models. CoRR Tarek Naous, Philippe Laban, Wei Xu, Jennifer Neville
2025	—	`conf`	GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation. ACL (Findings) Jie He, Jennifer Neville, Mengting Wan, Longqi Yang, Hui Liu, Xiaofeng Xu, Xia Song, Jeff Z. Pan, Pei Zhou
2025	J	`jnl`	GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation. CoRR Jie He, Jennifer Neville, Mengting Wan, Longqi Yang, Hui Liu, Xiaofeng Xu, Xia Song, Jeff Z. Pan, Pei Zhou
2025	J	`jnl`	Group Preference Alignment: Customized LLM Response Generation from In-Situ Conversations. CoRR Ishani Mondal, Jack W. Stokes, Sujay Kumar Jauhar, Longqi Yang, Mengting Wan, Xiaofeng Xu, Xia Song, Jennifer Neville
2025	—	`conf`	Group Preference Alignment: Customizing LLM Responses from In-Situ Conversations Only When Needed. EMNLP (Industry Track) Ishani Mondal, Jack W. Stokes, Sujay Kumar Jauhar, Longqi Yang, Mengting Wan, Xiaofeng Xu, Xia Song, Jordan Lee Boyd-Graber, Jennifer Neville
2025	J	`jnl`	LLMs Get Lost In Multi-Turn Conversation. CoRR Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, Jennifer Neville
2025	J	`jnl`	Lost in Transmission: When and Why LLMs Fail to Reason Globally. CoRR Tobias Schnabel, Kiran Tomlinson, Adith Swaminathan, Jennifer Neville
2025	A*	`conf`	Node Similarities under Random Projections: Limits and Pathological Cases. ICLR Tvrtko Tadic, Cassiano O. Becker, Jennifer Neville
2025	A*	`conf`	Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for Deep Research. SIGIR Corbin Rosset, Ho-Lam Chung, Guanghui Qin, Ethan C. Chau, Zhuo Feng, Ahmed Awadallah, Jennifer Neville, Nikhil Rao
2025	J	`jnl`	Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. ACM Trans. Web Chirag Shah, Ryen White, Reid Andersen, Georg Buscher, Scott Counts, Sarkar Snigdha Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Leijie Wang, Longqi Yang
2024	—	`conf`	Automatic Pair Construction for Contrastive Post-training. NAACL-HLT (Findings) Canwen Xu, Corby Rosset, Ethan C. Chau, Luciano Del Corro, Shweti Mahajan, Julian J. McAuley, Jennifer Neville, Ahmed Awadallah, Nikhil Rao
2024	J	`jnl`	CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness. CoRR Jiayi Liu, Tinghan Yang, Jennifer Neville
2024	J	`jnl`	Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media. CoRR Zhuoran Lu, Sheshera Mysore, Tara Safavi, Jennifer Neville, Longqi Yang, Mengting Wan
2024	J	`jnl`	Improving Node Representation by Boosting Target-Aware Contrastive Loss. CoRR Ying-Chun Lin, Jennifer Neville
2024	—	`conf`	Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. ACL (1) Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent J. Hecht, Jaime Teevan
2024	J	`jnl`	Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. CoRR Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent J. Hecht, Jaime Teevan
2024	J	`jnl`	LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation. CoRR Jiaxing Zhang, Jiayi Liu, Dongsheng Luo, Jennifer Neville, Hua Wei
2024	—	`conf`	MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. WWW (Companion Volume) Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
2024	J	`jnl`	MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels. CoRR Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
2024	J	`jnl`	Node Similarities under Random Projections: Limits and Pathological Cases. CoRR Tvrtko Tadic, Cassiano Becker, Jennifer Neville
2024	A	`conf`	On Overcoming Miscalibrated Conversational Priors in LLM-based ChatBots. UAI Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan
2024	J	`jnl`	On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots. CoRR Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan
2024	J	`jnl`	Prompts As Programs: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization. CoRR Tobias Schnabel, Jennifer Neville
2024	J	`jnl`	Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents. CoRR Corby Rosset, Ho-Lam Chung, Guanghui Qin, Ethan C. Chau, Zhuo Feng, Ahmed Awadallah, Jennifer Neville, Nikhil Rao
2024	J	`jnl`	Rethinking Node Representation Interpretation through Relation Coherence. CoRR Ying-Chun Lin, Jennifer Neville, Cassiano Becker, Purvanshi Metha, Nabiha Asghar, Vipul Agarwal
2024	—	`conf`	S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. ACL (Findings) Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi
2024	—	`conf`	Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization. EMNLP (Findings) Tobias Schnabel, Jennifer Neville
2024	J	`jnl`	The Use of Generative Search Engines for Knowledge Work and Complex Tasks. CoRR Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang
2024	A*	`conf`	TnT-LLM: Text Mining at Scale with Large Language Models. KDD Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan
2024	J	`jnl`	TnT-LLM: Text Mining at Scale with Large Language Models. CoRR Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan
2024	J	`jnl`	WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback. CoRR Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville
2023	J	`jnl`	Contrastive Post-training Large Language Models on Data Curriculum. CoRR Canwen Xu, Corby Rosset, Luciano Del Corro, Shweti Mahajan, Julian J. McAuley, Jennifer Neville, Ahmed Hassan Awadallah, Nikhil Rao
2023	J	`jnl`	Creating generalizable downstream graph models with random projections. CoRR Anton Amirov, Chris Quirk, Jennifer Neville
2023	A	`conf`	DYANE: DYnamic Attributed Node rolEs Generative Model. CIKM Giselle Zeno, Jennifer Neville
2023	J	`jnl`	DYMOND: DYnamic MOtif-NoDes Network Generative Model. CoRR Giselle Zeno, Timothy La Fond, Jennifer Neville
2023	A*	`conf`	Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs. WWW Susheel Suresh, Mayank Shrivastava, Arko Mukherjee, Jennifer Neville, Pan Li
2023	J	`jnl`	Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by Identifying Important Nodes with Bridgeness. CoRR Hogun Park, Jennifer Neville
2023	J	`jnl`	Generating post-hoc explanations for Skip-gram-based node embeddings by identifying important nodes with Neural Networks Hogun Park, Jennifer Neville
2023	A*	`conf`	Hindsight Learning for MDPs with Exogenous Inputs. ICML Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo de Oliveira Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
2023	J	`jnl`	PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers. CoRR Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi
2023	J	`jnl`	S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. CoRR Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi
2023	A*	`conf`	Stationary Algorithmic Balancing For Dynamic Email Re-Ranking Problem. KDD Jiayi Liu, Jennifer Neville
2023	J	`jnl`	Stationary Algorithmic Balancing For Dynamic Email Re-Ranking Problem. CoRR Jiayi Liu, Jennifer Neville
2023	A*	`ed.`	Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023 AAAI Brian Williams, Yiling Chen, Jennifer Neville
2023	J	`jnl`	Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. CoRR Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Scott Counts, Sarkar Snigdha Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Leijie Wang, Longqi Yang
2023	A*	`conf`	Workplace Recommendation with Temporal Network Objectives. KDD Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu
2022	J	`jnl`	Federated Graph Representation Learning using Self-Supervision. CoRR Susheel Suresh, Danny Godbout, Arko Mukherjee, Mayank Shrivastava, Jennifer Neville, Pan Li
2022	J	`jnl`	Lightweight Compositional Embeddings for Incremental Streaming Recommendation. CoRR Mengyue Hang, Tobias Schnabel, Longqi Yang, Jennifer Neville
2021	A*	`conf`	A Collective Learning Framework to Boost GNN Expressiveness for Node Classification. ICML Mengyue Hang, Jennifer Neville, Bruno Ribeiro
2021	A*	`conf`	Adversarial Graph Augmentation to Improve Graph Contrastive Learning. NeurIPS Susheel Suresh, Pan Li, Cong Hao, Jennifer Neville
2021	J	`jnl`	Adversarial Graph Augmentation to Improve Graph Contrastive Learning. CoRR Susheel Suresh, Pan Li, Cong Hao, Jennifer Neville
2021	A*	`conf`	Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns. KDD Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma
2021	J	`jnl`	Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns. CoRR Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma
2021	A*	`conf`	DYMOND: DYnamic MOtif-NoDes Network Generative Model. WWW Giselle Zeno, Timothy La Fond, Jennifer Neville
2021	J	`jnl`	ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis. CoRR Changping Meng, Muhao Chen, Jie Mao, Jennifer Neville
2021	A	`conf`	Towards Decentralized Social Reinforcement Learning via Ego-Network Extrapolation. AAMAS Mahak Goindani, Jennifer Neville
2020	J	`jnl`	A Collective Learning Framework to Boost GNN Expressiveness. CoRR Mengyue Hang, Jennifer Neville, Bruno Ribeiro
2020	A*	`conf`	A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs. ICDM Susheel Suresh, Jennifer Neville
2020	J	`jnl`	A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs. CoRR Susheel Suresh, Jennifer Neville
2020	A	`conf`	Cluster-Based Social Reinforcement Learning. AAMAS Mahak Goindani, Jennifer Neville
2020	J	`jnl`	Cluster-Based Social Reinforcement Learning. CoRR Mahak Goindani, Jennifer Neville
2020	—	`conf`	Dynamic Network Modeling from Motif-Activity. WWW (Companion Volume) Giselle Zeno, Timothy La Fond, Jennifer Neville
2020	J	`jnl`	Ensemble Learning for Relational Data. J. Mach. Learn. Res. Hoda Eldardiry, Jennifer Neville, Ryan A. Rossi
2020	A	`conf`	MERL: Multi-View Edge Representation Learning in Social Networks. CIKM Yi-Yu Lai, Jennifer Neville
2020	A*	`conf`	Online Bayesian Sparse Learning with Spike and Slab Priors. ICDM Shikai Fang, Shandian Zhe, Kuang-Chih Lee, Kai Zhang, Jennifer Neville
2020	—	`conf`	ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis. ECIR (1) Changping Meng, Muhao Chen, Jie Mao, Jennifer Neville
2020	—	`conf`	Role Equivalence Attention for Label Propagation in Graph Neural Networks. PAKDD (2) Hogun Park, Jennifer Neville
2019	A	`conf`	A Stein-Papangelou Goodness-of-Fit Test for Point Processes. AISTATS Jiasen Yang, Vinayak A. Rao, Jennifer Neville
2019	J	`jnl`	Community detection over a heterogeneous population of non-aligned networks. CoRR Guilherme Gomes, Vinayak A. Rao, Jennifer Neville
2019	J	`jnl`	Deep Lifetime Clustering. CoRR S. Chandra Mouli, Leonardo Teixeira, Jennifer Neville, Bruno Ribeiro
2019	A*	`conf`	Exploiting Interaction Links for Node Classification with Deep Graph Neural Networks. IJCAI Hogun Park, Jennifer Neville
2019	A*	`conf`	HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings. KDD Changping Meng, Jiasen Yang, Bruno Ribeiro, Jennifer Neville
2019	A	`conf`	Social Reinforcement Learning to Combat Fake News Spread. UAI Mahak Goindani, Jennifer Neville
2019	A*	`conf`	TransConv: Relationship Embedding in Social Networks. AAAI Yi-Yu Lai, Jennifer Neville, Dan Goldwasser
2019	J	`jnl`	Variational Random Function Model for Network Modeling. IEEE Trans. Neural Networks Learn. Syst. Zenglin Xu, Bin Liu, Shandian Zhe, Haoli Bai, Zihan Wang, Jennifer Neville
2018	J	`jnl`	Designing Size Consistent Statistics for Accurate Anomaly Detection in Dynamic Networks. ACM Trans. Knowl. Discov. Data Timothy La Fond, Jennifer Neville, Brian Gallagher
2018	A*	`conf`	Exploring Student Check-In Behavior for Improved Point-of-Interest Prediction. KDD Mengyue Hang, Ian Pytlarz, Jennifer Neville
2018	J	`jnl`	Exploring Student Check-In Behavior for Improved Point-of-Interest Prediction. CoRR Mengyue Hang, Ian Pytlarz, Jennifer Neville
2018	A*	`conf`	Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy. ICML Jiasen Yang, Qiang Liu, Vinayak A. Rao, Jennifer Neville
2018	J	`jnl`	Meta-Programming for Statistical Machine Learning (NII Shonan Meeting 2018-7). NII Shonan Meet. Rep. Oleg Kiselyov, Tiark Rompf, Jennifer Neville, Yukiyoshi Kameyama
2018	A*	`conf`	Multi-level Hypothesis Testing for Populations of Heterogeneous Networks. ICDM Guilherme Gomes, Vinayak A. Rao, Jennifer Neville
2018	J	`jnl`	Multi-level hypothesis testing for populations of heterogeneous networks. CoRR Guilherme Gomes, Vinayak A. Rao, Jennifer Neville
2018	A	`conf`	Nested CRP with Hawkes-Gaussian Processes. AISTATS Xi Tan, Vinayak A. Rao, Jennifer Neville
2018	J	`jnl`	Scalable and exact sampling method for probabilistic generative graph models. Data Min. Knowl. Discov. Sebastián Moreno, Joseph J. Pfeiffer III, Jennifer Neville
2018	A*	`conf`	Societal Impact of Data Science and Artificial Intelligence. KDD Foster J. Provost, James Hodson, Jeannette M. Wing, Qiang Yang, Jennifer Neville
2018	A*	`conf`	Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction. AAAI Changping Meng, S. Chandra Mouli, Bruno Ribeiro, Jennifer Neville
2018	A	`conf`	The Indian Buffet Hawkes Process to Model Evolving Latent Influences. UAI Xi Tan, Vinayak A. Rao, Jennifer Neville
2018	J	`jnl`	Tied Kronecker Product Graph Models to Capture Variance in Network Populations. ACM Trans. Knowl. Discov. Data Sebastián Moreno, Jennifer Neville, Sergey Kirshner
2017	A	`conf`	Decoupling Homophily and Reciprocity with Latent Space Network Models. UAI Jiasen Yang, Vinayak A. Rao, Jennifer Neville
2017	A*	`conf`	Deep Collective Inference. AAAI John Moore, Jennifer Neville
2017	J	`jnl`	Graphlet decomposition: framework, algorithms, and applications. Knowl. Inf. Syst. Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield, Theodore L. Willke
2017	Misc	`conf`	How to Exploit Relationships to Improve Predictions. ICTIR Jennifer Neville
2017	J	`jnl`	Identifying User Survival Types via Clustering of Censored Social Network Data. CoRR S. Chandra Mouli, Abhishek Naik, Bruno Ribeiro, Jennifer Neville
2017	A	`conf`	Should We Be Confident in Peer Effects Estimated From Social Network Crawls? ICWSM Jiasen Yang, Bruno Ribeiro, Jennifer Neville
2017	J	`jnl`	Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls. CoRR Jiasen Yang, Bruno Ribeiro, Jennifer Neville
2017	A*	`conf`	Unified Representation and Lifted Sampling for Generative Models of Social Networks. IJCAI Pablo Robles-Granda, Sebastián Moreno, Jennifer Neville
2016	—	`conf`	Better Together: Combining Language and Social Interactions into a Shared Representation. TextGraphs@NAACL-HLT Yi-Yu Lai, Chang Li, Dan Goldwasser, Jennifer Neville
2016	J	`jnl`	Combining Gradient Boosting Machines with Collective Inference to Predict Continuous Values. CoRR Iman Al-Odah, Jennifer Neville
2016	A	`ed.`	Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016 WSDM Paul N. Bennett, Vanja Josifovski, Jennifer Neville, Filip Radlinski
2016	A*	`conf`	Sampling of Attributed Networks from Hierarchical Generative Models. KDD Pablo Robles-Granda, Sebastián Moreno, Jennifer Neville
2016	J	`jnl`	Size-Consistent Statistics for Anomaly Detection in Dynamic Networks. CoRR Timothy La Fond, Jennifer Neville, Brian Gallagher
2015	—	`conf`	Analyzing the Transferability of Collective Inference Models Across Networks. ICDM Workshops Ransen Niu, Sebastián Moreno, Jennifer Neville
2015	A*	`conf`	Efficient Graphlet Counting for Large Networks. ICDM Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield
2015	J	`jnl`	Fast Parallel Graphlet Counting for Large Networks. CoRR Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield
2015	A*	`conf`	Incorporating Assortativity and Degree Dependence into Scalable Network Models. AAAI Stephen Mussmann, John Moore, Joseph John Pfeiffer III, Jennifer Neville
2015	A*	`conf`	Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks. WWW Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett
2015	J	`jnl`	Using Bayesian Network Representations for Effective Sampling from Generative Network Models. CoRR Pablo Robles-Granda, Sebastián Moreno, Jennifer Neville
2014	A*	`conf`	A Scalable Method for Exact Sampling from Kronecker Family Models. ICDM Sebastián Moreno, Joseph J. Pfeiffer III, Jennifer Neville, Sergey Kirshner
2014	A	`conf`	Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference. CIKM Joseph John Pfeiffer III, Jennifer Neville, Paul N. Bennett
2014	J	`jnl`	Anomaly Detection in Dynamic Networks of Varying Size. CoRR Timothy La Fond, Jennifer Neville, Brian Gallagher
2014	—	`conf`	Assortativity in Chung Lu Random Graph Models. SNAKDD Stephen Mussmann, John Moore, Joseph J. Pfeiffer III, Jennifer Neville
2014	A*	`conf`	Attributed graph models: modeling network structure with correlated attributes. WWW Joseph J. Pfeiffer III, Sebastián Moreno, Timothy La Fond, Jennifer Neville, Brian Gallagher
2014	A*	`conf`	Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning. ICDM Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett
2014	J	`jnl`	Graph Sample and Hold: A Framework for Big-Graph Analytics. CoRR Nesreen K. Ahmed, Nick G. Duffield, Jennifer Neville, Ramana Rao Kompella
2014	A*	`conf`	Graph sample and hold: a framework for big-graph analytics. KDD Nesreen K. Ahmed, Nick G. Duffield, Jennifer Neville, Ramana Rao Kompella
2014	J	`jnl`	Learning the Latent State Space of Time-Varying Graphs. CoRR Nesreen K. Ahmed, Christopher Cole, Jennifer Neville
2014	J	`jnl`	Signal Processing for Big Data [From the Guest Editors]. IEEE Signal Process. Mag. Georgios B. Giannakis, Francis R. Bach, Raphael Cendrillon, Michael W. Mahoney, Jennifer Neville
2013	A	`conf`	Collective inference for network data with copula latent markov networks. WSDM Rongjing Xiang, Jennifer Neville
2013	J	`jnl`	LBSN 2012 workshop report: the Fifth ACM SIGSPATIAL International Workshop on Location-Based Social Networks (Redondo Beach, California - November 6, 2012). ACM SIGSPATIAL Special Gabriel Ghinita, Jennifer Neville, Shawn D. Newsam
2013	A*	`conf`	Learning mixed kronecker product graph models with simulated method of moments. KDD Sebastián Moreno, Jennifer Neville, Sergey Kirshner
2013	A	`conf`	Modeling dynamic behavior in large evolving graphs. WSDM Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson
2013	A*	`conf`	Network Hypothesis Testing Using Mixed Kronecker Product Graph Models. ICDM Sebastián Moreno, Jennifer Neville
2013	J	`jnl`	Network Sampling: From Static to Streaming Graphs. ACM Trans. Knowl. Discov. Data Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella
2012	A	`conf`	An analysis of how ensembles of collective classifiers improve predictions in graphs. CIKM Hoda Eldardiry, Jennifer Neville
2012	J	`jnl`	Correcting evaluation bias of relational classifiers with network cross validation. Knowl. Inf. Syst. Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad, Tao Wang
2012	J	`jnl`	Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks CoRR Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson
2012	—	`conf`	Fast Generation of Large Scale Social Networks While Incorporating Transitive Closures. SocialCom/PASSAT Joseph J. Pfeiffer III, Timothy La Fond, Sebastián Moreno, Jennifer Neville
2012	J	`jnl`	Fast Generation of Large Scale Social Networks with Clustering CoRR Joseph J. Pfeiffer III, Timothy La Fond, Sebastián Moreno, Jennifer Neville
2012	A	`conf`	Network Sampling Designs for Relational Classification. ICWSM Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella
2012	J	`jnl`	Network Sampling: From Static to Streaming Graphs CoRR Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella
2012	—	`ed.`	Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, LBSN 2012, Redondo Beach, California, USA, November 6, 2012 LBSN@GIS Gabriel Ghinita, Jennifer Neville, Shawn D. Newsam
2012	J	`jnl`	Role-Dynamics: Fast Mining of Large Dynamic Networks CoRR Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson
2012	—	`conf`	Role-dynamics: fast mining of large dynamic networks. WWW (Companion Volume) Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson
2012	J	`jnl`	Space-Efficient Sampling from Social Activity Streams CoRR Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella
2012	—	`conf`	Space-efficient sampling from social activity streams. BigMine Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella
2012	Misc	`conf`	Structured Comparative Analysis of Systems Logs to Diagnose Performance Problems. NSDI Karthik Nagaraj, Charles Killian, Jennifer Neville
2012	—	`conf`	The Impact of Communication Structure and Interpersonal Dependencies on Distributed Teams. SocialCom/PASSAT Timothy La Fond, Dan Roberts, Jennifer Neville, James Tyler, Stacey L. Connaughton
2012	—	`conf`	Time-Evolving Relational Classification and Ensemble Methods. PAKDD (1) Ryan A. Rossi, Jennifer Neville
2012	J	`jnl`	Transforming Graph Data for Statistical Relational Learning. J. Artif. Intell. Res. Ryan A. Rossi, Luke K. McDowell, David William Aha, Jennifer Neville
2012	J	`jnl`	Transforming Graph Representations for Statistical Relational Learning CoRR Ryan A. Rossi, Luke K. McDowell, David W. Aha, Jennifer Neville
2011	A*	`conf`	Across-Model Collective Ensemble Classification. AAAI Hoda Eldardiry, Jennifer Neville
2011	—	`conf`	Correcting Bias in Statistical Tests for Network Classifier Evaluation. ECML/PKDD (3) Tao Wang, Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad
2011	J	`jnl`	Gender demographics trends and changes in U.S. CS departments. Commun. ACM Douglas Baumann, Susanne E. Hambrusch, Jennifer Neville
2011	J	`jnl`	Guided Data Repair CoRR Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Neville, Mourad Ouzzani, Ihab F. Ilyas
2011	J	`jnl`	Guided data repair. Proc. VLDB Endow. Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Neville, Mourad Ouzzani, Ihab F. Ilyas
2011	J	`jnl`	Introduction to the special issue on mining and learning with graphs. Mach. Learn. S. V. N. Vishwanathan, Samuel Kaski, Jennifer Neville, Stefan Wrobel
2011	J	`jnl`	Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure CoRR Joseph J. Pfeiffer III, Jennifer Neville
2011	A	`conf`	Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure. ICWSM Joseph J. Pfeiffer III, Jennifer Neville
2011	J	`jnl`	Prediction models for long-term Internet prefix availability. Comput. Networks Ravish Khosla, Sonia Fahmy, Y. Charlie Hu, Jennifer Neville
2011	A*	`conf`	Relational Active Learning for Joint Collective Classification Models. ICML Ankit Kuwadekar, Jennifer Neville
2011	A	`conf`	Relational Learning with One Network: An Asymptotic Analysis. AISTATS Rongjing Xiang, Jennifer Neville
2011	J	`jnl`	Representations and Ensemble Methods for Dynamic Relational Classification CoRR Ryan A. Rossi, Jennifer Neville
2011	A*	`conf`	Understanding Propagation Error and Its Effect on Collective Classification. ICDM Rongjing Xiang, Jennifer Neville
2010	—	`conf`	ERACER: a database approach for statistical inference and data cleaning. SIGMOD Conference Chris Mayfield, Jennifer Neville, Sunil Prabhakar
2010	—	`conf`	GDR: a system for guided data repair. SIGMOD Conference Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Neville, Mourad Ouzzani
2010	A*	`conf`	Modeling relationship strength in online social networks. WWW Rongjing Xiang, Jennifer Neville, Monica Rogati
2010	—	`conf`	Modeling the evolution of discussion topics and communication to improve relational classification. SOMA@KDD Ryan A. Rossi, Jennifer Neville
2010	—	`conf`	Multi-network fusion for collective inference. MLG@KDD Hoda Eldardiry, Jennifer Neville
2010	A*	`conf`	Predicting Prefix Availability in the Internet. INFOCOM Ravish Khosla, Sonia Fahmy, Y. Charlie Hu, Jennifer Neville
2010	A*	`conf`	Randomization tests for distinguishing social influence and homophily effects. WWW Timothy La Fond, Jennifer Neville
2010	—	`conf`	Ranking for data repairs. ICDE Workshops Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Neville
2010	—	`conf`	Tied Kronecker product graph models to capture variance in network populations. Allerton Sebastián Moreno, Sergey Kirshner, Jennifer Neville, S. V. N. Vishwanathan
2010	—	`conf`	Time-based sampling of social network activity graphs. MLG@KDD Nesreen K. Ahmed, Fredrick J. Berchmans, Jennifer Neville, Ramana Rao Kompella
2009	A*	`conf`	Evaluating Statistical Tests for Within-Network Classifiers of Relational Data. ICDM Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad
2009	A	`conf`	Using Transactional Information to Predict Link Strength in Online Social Networks. ICWSM Indika Kahanda, Jennifer Neville
2008	A*	`conf`	A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation. ICDM Pelin Angin, Jennifer Neville
2008	J	`jnl`	A bias/variance decomposition for models using collective inference. Mach. Learn. Jennifer Neville, David D. Jensen
2008	J	`jnl`	AI's 10 to Watch. IEEE Intell. Syst. James A. Hendler, Philipp Cimiano, Dmitri A. Dolgov, Anat Levin, Peter Mika, Brian Milch, Louis-Philippe Morency, Boris Motik, Jennifer Neville, Erik B. Sudderth, Luis von Ahn
2008	A*	`conf`	Database Support for Probabilistic Attributes and Tuples. ICDE Sarvjeet Singh, Chris Mayfield, Rahul Shah, Sunil Prabhakar, Susanne E. Hambrusch, Jennifer Neville, Reynold Cheng
2008	A*	`conf`	Pseudolikelihood EM for Within-network Relational Learning. ICDM Rongjing Xiang, Jennifer Neville
2008	A*	`conf`	Temporal-Relational Classifiers for Prediction in Evolving Domains. ICDM Umang Sharan, Jennifer Neville
2007	B	`conf`	Bias/Variance Analysis for Relational Domains. ILP Jennifer Neville, David D. Jensen
2007	J	`jnl`	Relational Dependency Networks. J. Mach. Learn. Res. Jennifer Neville, David D. Jensen
2005	A*	`conf`	Leveraging Relational Autocorrelation with Latent Group Models. ICDM Jennifer Neville, David D. Jensen
2005	—	`conf`	Leveraging relational autocorrelation with latent group models. Probabilistic, Logical and Relational Learning Jennifer Neville, David D. Jensen
2005	A*	`conf`	Structure Learning for Statistical Relational Models. AAAI Jennifer Neville
2005	A*	`conf`	Using relational knowledge discovery to prevent securities fraud. KDD Jennifer Neville, Özgür Simsek, David D. Jensen, John Komoroske, Kelly Palmer, Henry G. Goldberg
2004	A*	`conf`	Dependency Networks for Relational Data. ICDM Jennifer Neville, David D. Jensen
2004	A*	`conf`	Why collective inference improves relational classification. KDD David D. Jensen, Jennifer Neville, Brian Gallagher
2003	A*	`conf`	Avoiding Bias when Aggregating Relational Data with Degree Disparity. ICML David D. Jensen, Jennifer Neville, Michael Hay
2003	J	`jnl`	Exploiting relational structure to understand publication patterns in high-energy physics. SIGKDD Explor. Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew S. Fast, Jennifer Neville, David D. Jensen
2003	A*	`conf`	Learning relational probability trees. KDD Jennifer Neville, David D. Jensen, Lisa Friedland, Michael Hay
2003	A*	`conf`	Simple Estimators for Relational Bayesian Classifiers. ICDM Jennifer Neville, David D. Jensen, Brian Gallagher
2002	B	`conf`	Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners. ILP David D. Jensen, Jennifer Neville
2002	A*	`conf`	Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning. ICML David D. Jensen, Jennifer Neville