Shelton, Christian R.

29 publications

NeurIPS 2025 iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning Manyi Yao, Bingbing Zhuang, Sparsh Garg, Amit Roy-Chowdhury, Christian R. Shelton, Manmohan Chandraker, Abhishek Aich

JMLR 2024 Virtual-Event-Based Posterior Sampling and Inference for Neyman-Scott Processes Chengkuan Hong, Christian R. Shelton, Jun Zhu

ECML-PKDD 2019 Distributed Learning of Non-Convex Linear Models with One Round of Communication Mike Izbicki, Christian R. Shelton

AAAI 2018 Hawkes Process Inference with Missing Data Christian R. Shelton, Zhen Qin, Chandini Shetty

MLHC 2018 Modeling "Presentness" of Electronic Health Record Data to Improve Patient State Estimation Jacob Fauber, Christian R. Shelton

MLHC 2017 Marked Point Process for Severity of Illness Assessment Kazi T. Islam, Christian R. Shelton, Juan I. Casse, Randall Wetzel

UAI 2015 Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models Zhen Qin, Christian R. Shelton

JAIR 2014 Tutorial on Structured Continuous-Time Markov Processes Christian R. Shelton, Gianfranco Ciardo

CVPR 2012 Improving Multi-Target Tracking via Social Grouping Zhen Qin, Christian R. Shelton

UAI 2011 Factored Filtering of Continuous-Time Systems E. Busra Celikkaya, Christian R. Shelton, William Lam

MLOSS 2010 Continuous Time Bayesian Network Reasoning and Learning Engine Christian R. Shelton, Yu Fan, William Lam, Joon Lee, Jing Xu

JMLR 2010 Importance Sampling for Continuous Time Bayesian Networks Yu Fan, Jing Xu, Christian R. Shelton

JAIR 2010 Intrusion Detection Using Continuous Time Bayesian Networks Jing Xu, Christian R. Shelton

UAI 2009 Learning Continuous-Time Social Network Dynamics Yu Fan, Christian R. Shelton

ECML-PKDD 2008 Catenary Support Vector Machines Kin Fai Kan, Christian R. Shelton

ECML-PKDD 2008 Continuous Time Bayesian Networks for Host Level Network Intrusion Detection Jing Xu, Christian R. Shelton

JAIR 2006 A Continuation Method for Nash Equilibria in Structured Games Ben Blum, Christian R. Shelton, Daphne Koller

NeurIPS 2006 Chained Boosting Christian R. Shelton, Wesley Huie, Kin F. Kan

ICML 2006 Fast Time Series Classification Using Numerosity Reduction Xiaopeng Xi, Eamonn J. Keogh, Christian R. Shelton, Li Wei, Chotirat Ann Ratanamahatana

UAI 2005 Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks Uri Nodelman, Christian R. Shelton, Daphne Koller

UAI 2005 Expectation Propagation for Continuous Time Bayesian Networks Uri Nodelman, Daphne Koller, Christian R. Shelton

IJCAI 2003 A Continuation Method for Nash Equilibria in Structured Games Ben Blum, Christian R. Shelton, Daphne Koller

UAI 2003 Learning Continuous Time Bayesian Networks Uri Nodelman, Christian R. Shelton, Daphne Koller

UAI 2002 Continuous Time Bayesian Networks Uri Nodelman, Christian R. Shelton, Daphne Koller

ICML 2002 Learning from Scarce Experience Leonid Peshkin, Christian R. Shelton

UAI 2002 Reinforcement Learning with Partially Known World Dynamics Christian R. Shelton

NeurIPS 2001 Cobot: A Social Reinforcement Learning Agent Charles Lee Isbell Jr., Christian R. Shelton

UAI 2001 Policy Improvement for POMDPs Using Normalized Importance Sampling Christian R. Shelton

NeurIPS 2000 Balancing Multiple Sources of Reward in Reinforcement Learning Christian R. Shelton