Lyle H. Ungar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
127
Venues
28
Active years
1995–2026
Best venue rank
A*
Where they publish
- A*EMNLP23 papers
- A*ACL16 papers
- ANAACL14 papers
- AICWSM14 papers
- A*AAAI13 papers
- A*ICML5 papers
- A*KDD5 papers
- A*ICDM5 papers
- BCOLING4 papers
- A*CHI3 papers
- ACIKM3 papers
- CICIS3 papers
- AEACL2 papers
- BLREC2 papers
- AAISTATS2 papers
- ACSCW1 paper
- A*ICLR1 paper
- NationalAMIA1 paper
- A*WWW1 paper
- NationalHOTNETS1 paper
- BIJCNLP1 paper
- NationalPSB1 paper
- CICMLA1 paper
- A*INFOCOM1 paper
- AIROS1 paper
- A*SIGIR1 paper
- A*IJCAI1 paper
- AUAI1 paper
Papers
127 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | LaTeX2Layout: High-Fidelity, Scalable Document Layout Annotation Pipeline for Layout Detection. | Feijiang Han, Zelong Wang, Bowen Wang, Xinxin Liu, Skyler Cheung, Delip Rao, Chris Callison-Burch, Lyle H. Ungar |
| 2026 | ACL | Knowing When Not to Answer: Lightweight KB-Aligned OOD Detection for Safe RAG. | Ilias Triantafyllopoulos, Renyi Qu, Salvatore Giorgi, Brenda Curtis, Lyle H. Ungar, Joo Sedoc |
| 2026 | CHI | Voice-Based Chatbots for English Speaking Practice in Multilingual Low-Resource Indian Schools: A Multi-Stakeholder Study. | Sneha Shashidhara, Vivienne Bihe Chi, Abhay P. Singh, Lyle H. Ungar, Sharath Chandra Guntuku |
| 2025 | AAAI | The Illusion of Empathy: How AI Chatbots Shape Conversation Perception. | Tingting Liu, Salvatore Giorgi, Ankit Aich, Allison Lahnala, Brenda Curtis, Lyle H. Ungar, Joo Sedoc |
| 2025 | ACL | Towards Style Alignment in Cross-Cultural Translation. | Shreya Havaldar, Adam Stein, Eric Wong, Lyle H. Ungar |
| 2025 | ACL | Systematic Evaluation of Auto-Encoding and Large Language Model Representations for Capturing Author States and Traits. | Khushboo Singh, Vasudha Varadarajan, Adithya V. Ganesan, August Hkan Nilsson, Nikita Soni, Syeda Mahwish, Pranav Chitale, Ryan L. Boyd, Lyle H. Ungar, Richard N. Rosenthal, H. Andrew Schwartz |
| 2025 | CHI | Efficient Management of LLM-Based Coaching Agents' Reasoning While Maintaining Interaction Quality and Speed. | Andreas Gldi, Roman Rietsche, Lyle H. Ungar |
| 2025 | CHI | Exploring Socio-Cultural Challenges and Opportunities in Designing Mental Health Chatbots for Adolescents in India. | Neil K. R. Sehgal, Hita Kambhamettu, Sai Preethi Matam, Lyle H. Ungar, Sharath Chandra Guntuku |
| 2025 | CSCW | PAL: Designing Conversational Agents as Scalable, Cooperative Patient Simulators for Palliative‑Care Training. | Neil K. R. Sehgal, Hita Kambhamettu, Allen Chang, Andrew Zhu, Lyle H. Ungar, Sharath Chandra Guntuku |
| 2025 | EMNLP | ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering without Font Annotations. | Bowen Jiang, Yuan Yuan, Xinyi Bai, Zhuoqun Hao, Alyson Yin, Yaojie Hu, Wenyu Liao, Lyle H. Ungar, Camillo Jose Taylor |
| 2025 | EMNLP | The Impact of Language Mixing on Bilingual LLM Reasoning. | Yihao Li, Jiayi Xin, Miranda Muqing Miao, Qi Long, Lyle H. Ungar |
| 2025 | NAACL | Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination. | Young Min Cho, Dandan Pang, Stuti Thapa, Garrick Sherman, Lyle H. Ungar, Louis Tay, Sharath Chandra Guntuku |
| 2025 | NAACL | Social Norms in Cinema: A Cross-Cultural Analysis of Shame, Pride and Prejudice. | Sunny Rai, Khushang Jilesh Zaveri, Shreya Havaldar, Soumna Nema, Lyle H. Ungar, Sharath Chandra Guntuku |
| 2024 | EMNLP | Modeling Human Subjectivity in LLMs Using Explicit and Implicit Human Factors in Personas. | Salvatore Giorgi, Tingting Liu, Ankit Aich, Kelsey Isman, Garrick Sherman, Zachary Fried, Joo Sedoc, Lyle H. Ungar, Brenda Curtis |
| 2024 | ICWSM | Measuring Causal Effects of Civil Communication without Randomization. | Tony Liu, Lyle H. Ungar, Konrad P. Kording, Morgan McGuire |
| 2024 | NAACL | Building Knowledge-Guided Lexica to Model Cultural Variation. | Shreya Havaldar, Salvatore Giorgi, Sunny Rai, Thomas Talhelm, Sharath Chandra Guntuku, Lyle H. Ungar |
| 2023 | ACL | Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections. | Maria Leonor Pacheco, Tunazzina Islam, Lyle H. Ungar, Ming Yin, Dan Goldwasser |
| 2023 | EACL | StyLEx: Explaining Style Using Human Lexical Annotations. | Shirley Anugrah Hayati, Kyumin Park, Dheeraj Rajagopal, Lyle H. Ungar, Dongyeop Kang |
| 2023 | EMNLP | An "Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives". | Young Min Cho, Sunny Rai, Lyle H. Ungar, Joo Sedoc, Sharath Chandra Guntuku |
| 2023 | EMNLP | Comparing Styles across Languages. | Shreya Havaldar, Matthew Pressimone, Eric Wong, Lyle H. Ungar |
| 2023 | EMNLP | Conditioning on Dialog Acts improves Empathy Style Transfer. | Renyi Qu, Lyle H. Ungar, Joo Sedoc |
| 2023 | EMNLP | Conceptor-Aided Debiasing of Large Language Models. | Yifei Li, Lyle H. Ungar, Joo Sedoc |
| 2023 | ICLR | TopEx: Topic-based Explanations for Model Comparison. | Shreya Havaldar, Adam Stein, Eric Wong, Lyle H. Ungar |
| 2023 | ICWSM | Different Affordances on Facebook and SMS Text Messaging Do Not Impede Generalization of Language-Based Predictive Models. | Tingting Liu, Salvatore Giorgi, Xiangyu Tao, Sharath Chandra Guntuku, Douglas Bellew, Brenda Curtis, Lyle H. Ungar |
| 2022 | ACL | Measuring the Language of Self-Disclosure across Corpora. | Ann-Katrin Reuel, Sebastian Peralta, Joo Sedoc, Garrick Sherman, Lyle H. Ungar |
| 2022 | EMNLP | Inducing Generalizable and Interpretable Lexica. | Yilin Geng, Zetian Wu, Roshan Santhosh, Tejas Srivastava, Lyle H. Ungar, Joo Sedoc |
| 2022 | ICWSM | Social Media Reveals Urban-Rural Differences in Stress across China. | Jesse Cui, Tingdan Zhang, Kokil Jaidka, Dandan Pang, Garrick Sherman, Vinit Jakhetiya, Lyle H. Ungar, Sharath Chandra Guntuku |
| 2022 | ICWSM | Correcting Sociodemographic Selection Biases for Population Prediction from Social Media. | Salvatore Giorgi, Veronica E. Lynn, Keshav Gupta, Farhan Ahmed, Sandra Matz, Lyle H. Ungar, H. Andrew Schwartz |
| 2022 | NAACL | A Holistic Framework for Analyzing the COVID-19 Vaccine Debate. | Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan, Andrey Shor, Ming Yin, Lyle H. Ungar, Dan Goldwasser |
| 2021 | ACL | Characterizing Social Spambots by their Human Traits. | Salvatore Giorgi, Lyle H. Ungar, H. Andrew Schwartz |
| 2021 | EMNLP | Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica. | Shirley Anugrah Hayati, Dongyeop Kang, Lyle H. Ungar |
| 2021 | ICWSM | Well-Being Depends on Social Comparison: Hierarchical Models of Twitter Language Suggest That Richer Neighbors Make You Less Happy. | Salvatore Giorgi, Sharath Chandra Guntuku, Johannes C. Eichstaedt, Claire Pajot, H. Andrew Schwartz, Lyle H. Ungar |
| 2021 | NAACL | WikiTalkEdit: A Dataset for modeling Editors' behaviors on Wikipedia. | Kokil Jaidka, Andrea Ceolin, Iknoor Singh, Niyati Chhaya, Lyle H. Ungar |
| 2020 | AAAI | Editorial for the 3rd Workshop on Affective Content Analysis (AffCon) at AAAI 2020. | Niyati Chhaya, Kokil Jaidka, Jennifer Healey, Lyle H. Ungar, Atanu R. Sinha |
| 2020 | AAAI | A report of the CL-Aff OffMyChest Shared Task: Modeling Supportiveness and Disclosure. | Kokil Jaidka, Iknoor Singh, Jiahui Liu, Niyati Chhaya, Lyle H. Ungar |
| 2020 | AMIA | Identifying Actionable Aspects of Frailty in the Text of Encounter Notes. | Jacob A. Martin, Andrew Crane-Droesch, Folasade C. Lapite, Joseph C. Puhl, Jasmine A. Silvestri, Bruce P. Kinosian, Blanca E. Himes, Rebecca A. Hubbard, Vivek N. Ahya, Michael W. Sims, Joshua M. Diamond, Joseph Adler, Elizabeth Steele, Emily Ott, Lyle H. Ungar, Scott D. Halpern, Gary E. Weissman |
| 2020 | EMNLP | Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments. | Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim A. Elmadany, Lyle H. Ungar |
| 2020 | EMNLP | Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings. | Roshan Santosh, H. Andrew Schwartz, Johannes C. Eichstaedt, Lyle H. Ungar, Sharath Chandra Guntuku |
| 2020 | EMNLP | Predicting Responses to Psychological Questionnaires from Participants' Social Media Posts and Question Text Embeddings. | Huy Vu, Suhaib Abdurahman, Sudeep Bhatia, Lyle H. Ungar |
| 2020 | ICWSM | Beyond Positive Emotion: Deconstructing Happy Moments Based on Writing Prompts. | Kokil Jaidka, Niyati Chhaya, Saran Mumick, Matthew Killingsworth, Alon Y. Halevy, Lyle H. Ungar |
| 2020 | LREC | Learning Word Ratings for Empathy and Distress from Document-Level User Responses. | Joo Sedoc, Sven Buechel, Yehonathan Nachmany, Anneke Buffone, Lyle H. Ungar |
| 2019 | AAAI | Editorial for the 2nd Workshop on Affective Content Analysis (AffCon) at AAAI 2019. | Niyati Chhaya, Kokil Jaidka, Atanu R. Sinha, Lyle H. Ungar |
| 2019 | AAAI | The CL-Aff Happiness Shared Task: Results and Key Insights. | Kokil Jaidka, Saran Mumick, Niyati Chhaya, Lyle H. Ungar |
| 2019 | AAAI | Unsupervised Post-Processing of Word Vectors via Conceptor Negation. | Tianlin Liu, Lyle H. Ungar, Joo Sedoc |
| 2019 | ICWSM | Understanding and Measuring Psychological Stress Using Social Media. | Sharath Chandra Guntuku, Anneke Buffone, Kokil Jaidka, Johannes C. Eichstaedt, Lyle H. Ungar |
| 2019 | ICWSM | Studying Cultural Differences in Emoji Usage across the East and the West. | Sharath Chandra Guntuku, Mingyang Li, Louis Tay, Lyle H. Ungar |
| 2019 | ICWSM | What Twitter Profile and Posted Images Reveal about Depression and Anxiety. | Sharath Chandra Guntuku, Daniel Preotiuc-Pietro, Johannes C. Eichstaedt, Lyle H. Ungar |
| 2019 | NAACL | Continual Learning for Sentence Representations Using Conceptors. | Tianlin Liu, Lyle H. Ungar, Joo Sedoc |
| 2019 | NAACL | ChatEval: A Tool for Chatbot Evaluation. | Joo Sedoc, Daphne Ippolito, Arun Kirubarajan, Jai Thirani, Lyle H. Ungar, Chris Callison-Burch |
| 2019 | WWW | Exploring (Dis-)Similarities in Emoji-Emotion Association on Twitter and Weibo. | Mingyang Li, Sharath Chandra Guntuku, Vinit Jakhetiya, Lyle H. Ungar |
| 2018 | AAAI | The AAAI-18 Workshop on Affective Content Analysis. | Niyati Chhaya, Kokil Jaidka, Lyle H. Ungar |
| 2018 | ACL | Diachronic degradation of language models: Insights from social media. | Kokil Jaidka, Niyati Chhaya, Lyle H. Ungar |
| 2018 | COLING | User-Level Race and Ethnicity Predictors from Twitter Text. | Daniel Preotiuc-Pietro, Lyle H. Ungar |
| 2018 | COLING | Unsupervised Morphology Learning with Statistical Paradigms. | Hongzhi Xu, Mitchell Marcus, Charles Yang, Lyle H. Ungar |
| 2018 | EMNLP | Modeling Empathy and Distress in Reaction to News Stories. | Sven Buechel, Anneke Buffone, Barry Slaff, Lyle H. Ungar, Joo Sedoc |
| 2018 | EMNLP | The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. | Salvatore Giorgi, Daniel Preotiuc-Pietro, Anneke Buffone, Daniel Rieman, Lyle H. Ungar, H. Andrew Schwartz |
| 2018 | EMNLP | Identifying Locus of Control in Social Media Language. | Masoud Rouhizadeh, Kokil Jaidka, Laura Smith, H. Andrew Schwartz, Anneke Buffone, Lyle H. Ungar |
| 2018 | HOTNETS | Fast Network Simulation Through Approximation or: How Blind Men Can Describe Elephants. | Charles W. Kazer, Joo Sedoc, Kelvin K. W. Ng, Vincent Liu, Lyle H. Ungar |
| 2018 | ICWSM | Modeling and Visualizing Locus of Control with Facebook Language. | Kokil Jaidka, Anneke Buffone, Johannes C. Eichstaedt, Masoud Rouhizadeh, Lyle H. Ungar |
| 2018 | ICWSM | Facebook versus Twitter: Differences in Self-Disclosure and Trait Prediction. | Kokil Jaidka, Sharath Chandra Guntuku, Lyle H. Ungar |
| 2017 | AAAI | Proper Proxy Scoring Rules. | Jens Witkowski, Pavel Atanasov, Lyle H. Ungar, Andreas Krause |
| 2017 | ACL | EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks. | Muhammad Abdul-Mageed, Lyle H. Ungar |
| 2017 | ACL | On the Distribution of Lexical Features at Multiple Levels of Analysis. | Fatemeh Almodaresi, Lyle H. Ungar, Vivek Kulkarni, Mohsen Zakeri, Salvatore Giorgi, H. Andrew Schwartz |
| 2017 | ACL | Beyond Binary Labels: Political Ideology Prediction of Twitter Users. | Daniel Preotiuc-Pietro, Ye Liu, Daniel Hopkins, Lyle H. Ungar |
| 2017 | ACL | Semantic Word Clusters Using Signed Spectral Clustering. | Joo Sedoc, Jean Gallier, Dean P. Foster, Lyle H. Ungar |
| 2017 | ACL | Recognizing Counterfactual Thinking in Social Media Texts. | Youngseo Son, Anneke Buffone, Joe Raso, Allegra Larche, Anthony Janocko, Kevin Zembroski, H. Andrew Schwartz, Lyle H. Ungar |
| 2017 | EACL | Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering. | Joo Sedoc, Daniel Preotiuc-Pietro, Lyle H. Ungar |
| 2017 | EMNLP | Controlling Human Perception of Basic User Traits. | Daniel Preotiuc-Pietro, Sharath Chandra Guntuku, Lyle H. Ungar |
| 2017 | EMNLP | DLATK: Differential Language Analysis ToolKit. | H. Andrew Schwartz, Salvatore Giorgi, Maarten Sap, Patrick Crutchley, Lyle H. Ungar, Johannes C. Eichstaedt |
| 2017 | EMNLP | Assessing Objective Recommendation Quality through Political Forecasting. | H. Andrew Schwartz, Masoud Rouhizadeh, Michael Bishop, Philip Tetlock, Barbara A. Mellers, Lyle H. Ungar |
| 2017 | IJCNLP | Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions. | Daniel Rieman, Kokil Jaidka, H. Andrew Schwartz, Lyle H. Ungar |
| 2017 | ICWSM | Recognizing Pathogenic Empathy in Social Media. | Muhammad Abdul-Mageed, Anneke Buffone, Hao Peng, Johannes C. Eichstaedt, Lyle H. Ungar |
| 2016 | AAAI | Discovering User Attribute Stylistic Differences via Paraphrasing. | Daniel Preotiuc-Pietro, Wei Xu, Lyle H. Ungar |
| 2016 | ACL | Analyzing Biases in Human Perception of User Age and Gender from Text. | Lucie Flekova, Jordan Carpenter, Salvatore Giorgi, Lyle H. Ungar, Daniel Preotiuc-Pietro |
| 2016 | ACL | Exploring Stylistic Variation with Age and Income on Twitter. | Lucie Flekova, Daniel Preotiuc-Pietro, Lyle H. Ungar |
| 2016 | CIKM | Studying the Dark Triad of Personality through Twitter Behavior. | Daniel Preotiuc-Pietro, Jordan Carpenter, Salvatore Giorgi, Lyle H. Ungar |
| 2016 | EMNLP | Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference. | Masoud Rouhizadeh, Lyle H. Ungar, Anneke Buffone, H. Andrew Schwartz |
| 2016 | EMNLP | Does 'well-being' translate on Twitter? | Laura Smith, Salvatore Giorgi, Rishi Solanki, Johannes C. Eichstaedt, H. Andrew Schwartz, Muhammad Abdul-Mageed, Anneke Buffone, Lyle H. Ungar |
| 2016 | ICWSM | Analyzing Personality through Social Media Profile Picture Choice. | Leqi Liu, Daniel Preotiuc-Pietro, Zahra Riahi Samani, Mohsen Ebrahimi Moghaddam, Lyle H. Ungar |
| 2016 | LREC | An Empirical Exploration of Moral Foundations Theory in Partisan News Sources. | Dean Fulgoni, Jordan Carpenter, Lyle H. Ungar, Daniel Preotiuc-Pietro |
| 2016 | PSB | Predicting Individual Well-Being Through the Language of Social Media. | H. Andrew Schwartz, Maarten Sap, Margaret L. Kern, Johannes C. Eichstaedt, Adam Kapelner, Megha Agrawal, Eduardo Blanco, Lukasz Dziurzynski, Gregory J. Park, David Stillwell, Michal Kosinski, Martin E. P. Seligman, Lyle H. Ungar |
| 2015 | NAACL | Crowdsourcing for NLP. | Chris Callison-Burch, Lyle H. Ungar, Ellie Pavlick |
| 2015 | NAACL | The role of personality, age, and gender in tweeting about mental illness. | Daniel Preotiuc-Pietro, Johannes C. Eichstaedt, Gregory J. Park, Maarten Sap, Laura Smith, Victoria Tobolsky, H. Andrew Schwartz, Lyle H. Ungar |
| 2015 | NAACL | Mental Illness Detection at the World Well-Being Project for the CLPsych 2015 Shared Task. | Daniel Preotiuc-Pietro, Maarten Sap, H. Andrew Schwartz, Lyle H. Ungar |
| 2015 | NAACL | Extracting Human Temporal Orientation from Facebook Language. | H. Andrew Schwartz, Gregory J. Park, Maarten Sap, Evan Weingarten, Johannes C. Eichstaedt, Margaret L. Kern, David Stillwell, Michal Kosinski, Jonah Berger, Martin E. P. Seligman, Lyle H. Ungar |
| 2014 | EMNLP | Developing Age and Gender Predictive Lexica over Social Media. | Maarten Sap, Gregory J. Park, Johannes C. Eichstaedt, Margaret L. Kern, David Stillwell, Michal Kosinski, Lyle H. Ungar, H. Andrew Schwartz |
| 2013 | ICIS | How do Infomediaries affect firms' information strategies, and how do they impact buyer and social welfare? | Panos M. Markopoulos, Ravi Aron, Lyle H. Ungar |
| 2013 | ICWSM | Characterizing Geographic Variation in Well-Being Using Tweets. | H. Andrew Schwartz, Johannes C. Eichstaedt, Margaret L. Kern, Lukasz Dziurzynski, Richard E. Lucas, Megha Agrawal, Gregory J. Park, Shrinidhi K. Lakshmikanth, Sneha Jha, Martin E. P. Seligman, Lyle H. Ungar |
| 2013 | NAACL | Spectral Learning Algorithms for Natural Language Processing. | Shay B. Cohen, Michael Collins, Dean P. Foster, Karl Stratos, Lyle H. Ungar |
| 2013 | NAACL | Experiments with Spectral Learning of Latent-Variable PCFGs. | Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar |
| 2012 | ACL | Spectral Learning of Latent-Variable PCFGs. | Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar |
| 2012 | COLING | New Insights from Coarse Word Sense Disambiguation in the Crowd. | Adam Kapelner, Krishna Kaliannan, Hansen Andrew Schwartz, Lyle H. Ungar, Dean P. Foster |
| 2012 | COLING | Improving Supervised Sense Disambiguation with Web-Scale Selectors. | Hansen Andrew Schwartz, Fernando Gomez, Lyle H. Ungar |
| 2012 | EMNLP | Spectral Dependency Parsing with Latent Variables. | Paramveer S. Dhillon, Jordan Rodu, Michael Collins, Dean P. Foster, Lyle H. Ungar |
| 2012 | ICML | Using CCA to improve CCA: A new spectral method for estimating vector models of words. | Paramveer S. Dhillon, Jordan Rodu, Dean P. Foster, Lyle H. Ungar |
| 2010 | EMNLP | A New Approach to Lexical Disambiguation of Arabic Text. | Rushin Shah, Paramveer S. Dhillon, Mark Y. Liberman, Dean P. Foster, Mohamed Maamouri, Lyle H. Ungar |
| 2010 | ICMLA | A System for De-identifying Medical Message Board Text. | Adrian Benton, Shawndra Hill, Lyle H. Ungar, Annie Chung, Charles E. Leonard, Cristin Freeman, John H. Holmes |
| 2010 | KDD | Discovery of significant emerging trends. | Saurabh Goorha, Lyle H. Ungar |
| 2009 | ACL | Transfer Learning, Feature Selection and Word Sense Disambiguation. | Paramveer S. Dhillon, Lyle H. Ungar |
| 2009 | ICDM | Resolving Identity Uncertainty with Learned Random Walks. | Ted Sandler, Lyle H. Ungar, Koby Crammer |
| 2008 | CIKM | Using sequence classification for filtering web pages. | Binyamin Rosenfeld, Ronen Feldman, Lyle H. Ungar |
| 2008 | CIKM | Web-scale named entity recognition. | Casey Whitelaw, Alexander Kehlenbeck, Nemanja Petrovic, Lyle H. Ungar |
| 2008 | ICDM | Efficient Feature Selection in the Presence of Multiple Feature Classes. | Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar |
| 2007 | ICDM | Extracting Product Comparisons from Discussion Boards. | Ronen Feldman, Moshe Fresko, Jacob Goldenberg, Oded Netzer, Lyle H. Ungar |
| 2007 | ICDM | Finding Cohesive Clusters for Analyzing Knowledge Communities. | Vasileios Kandylas, S. Phineas Upham, Lyle H. Ungar |
| 2006 | NAACL | An Empirical Study of the Behavior of Active Learning for Word Sense Disambiguation. | Jinying Chen, Andrew I. Schein, Lyle H. Ungar, Martha Palmer |
| 2005 | AISTATS | Streaming Feature Selection using IIC. | Lyle H. Ungar, Jing Zhou, Dean P. Foster, Bob A. Stine |
| 2005 | ICIS | Is Online Product Information Availability Driven by Quality or Differentiation? | Panos M. Markopoulos, Ravi Aron, Lyle H. Ungar |
| 2005 | KDD | Streaming feature selection using alpha-investing. | Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H. Ungar |
| 2004 | KDD | Cluster-based concept invention for statistical relational learning. | Alexandrin Popescul, Lyle H. Ungar |
| 2003 | AISTATS | A Generalized Linear Model for Principal Component Analysis of Binary Data. | Andrew I. Schein, Lawrence K. Saul, Lyle H. Ungar |
| 2003 | ICDM | Statistical Relational Learning for Document Mining. | Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock |
| 2003 | ICIS | Dual Pricing in Electronic Markets. | Panos M. Markopoulos, Ravi Aron, Lyle H. Ungar |
| 2003 | ICML | Mixtures of Conditional Maximum Entropy Models. | Dmitry Pavlov, Alexandrin Popescul, David M. Pennock, Lyle H. Ungar |
| 2003 | INFOCOM | Static and Dynamic Analysis of the Internet's Susceptibility to Faults and Attacks. | Seung-Taek Park, Alexy Khrabrov, David M. Pennock, Steve Lawrence, C. Lee Giles, Lyle H. Ungar |
| 2003 | IROS | Using policy gradient reinforcement learning on autonomous robot controllers. | Gregory Z. Grudic, Vijay Kumar, Lyle H. Ungar |
| 2002 | SIGIR | Methods and metrics for cold-start recommendations. | Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock |
| 2001 | IJCAI | Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning. | Gregory Z. Grudic, Lyle H. Ungar |
| 2001 | KDD | Maximum entropy methods for biological sequence modeling. | Eugen C. Buehler, Lyle H. Ungar |
| 2001 | UAI | Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments. | Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, Steve Lawrence |
| 2000 | AAAI | Localizing Search in Reinforcement Learning. | Gregory Z. Grudic, Lyle H. Ungar |
| 2000 | AAAI | Iterative Combinatorial Auctions: Theory and Practice. | David C. Parkes, Lyle H. Ungar |
| 2000 | AAAI | Preventing Strategic Manipulation in Iterative Auctions: Proxy Agents and Price-Adjustment. | David C. Parkes, Lyle H. Ungar |
| 2000 | ICML | Localizing Policy Gradient Estimates to Action Transition. | Gregory Z. Grudic, Lyle H. Ungar |
| 2000 | KDD | Efficient clustering of high-dimensional data sets with application to reference matching. | Andrew McCallum, Kamal Nigam, Lyle H. Ungar |
| 1997 | ICML | Characterizing the generalization performance of model selection strategies. | Dale Schuurmans, Lyle H. Ungar, Dean P. Foster |
| 1995 | ICML | Active Exploration and Learning in real-Valued Spaces using Multi-Armed Bandit Allocation Indices. | Marcos Salganicoff, Lyle H. Ungar |