Christian R. Shelton

94 papers A* 10A 19B 3C 1Misc 2Journal 41Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Mitigating Participation Imbalance Bias in Asynchronous Federated Learning. CoRR Xiangyu Chang, Manyi Yao, Srikanth V. Krishnamurthy, Christian R. Shelton, Anirban Chakraborty, Ananthram Swami, Samet Oymak, Amit K. Roy-Chowdhury
2025	J	`jnl`	iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning. CoRR Manyi Yao, Bingbing Zhuang, Sparsh Garg, Amit Roychowdhury, Christian R. Shelton, Manmohan Chandraker, Abhishek Aich
2024	A	`conf`	Comparing Lossless Compression Methods for Chess Endgame Data. ECAI Dave Gomboc, Christian R. Shelton, Andrew S. Miner, Gianfranco Ciardo
2024	J	`jnl`	Efficient Transformer Encoders for Mask2Former-style models. CoRR Manyi Yao, Abhishek Aich, Yumin Suh, Amit Roy-Chowdhury, Christian R. Shelton, Manmohan Chandraker
2024	J	`jnl`	Virtual-Event-Based Posterior Sampling and Inference for Neyman-Scott Processes. J. Mach. Learn. Res. Chengkuan Hong, Christian R. Shelton, Jun Zhu
2023	J	`jnl`	FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs. IEEE Trans. Parallel Distributed Syst. Yujia Zhai, Elisabeth Giem, Kai Zhao, Jinyang Liu, Jiajun Huang, Bryan M. Wong, Christian R. Shelton, Zizhong Chen
2023	J	`jnl`	High-dimensional multi-fidelity Bayesian optimization for quantum control. Mach. Learn. Sci. Technol. Marjuka F. Lazin, Christian R. Shelton, Simon N. Sandhofer, Bryan M. Wong
2023	A	`conf`	Variational Inference for Neyman-Scott Processes. AISTATS Chengkuan Hong, Christian R. Shelton
2023	J	`jnl`	Variational Inference for Neyman-Scott Processes. CoRR Chengkuan Hong, Christian R. Shelton
2022	A	`conf`	Deep Neyman-Scott Processes. AISTATS Chengkuan Hong, Christian R. Shelton
2021	—	`conf`	Chess Endgame Compression via Logic Minimization. ACG Dave Gomboc, Christian R. Shelton
2021	J	`jnl`	Convolutional Deep Exponential Families. CoRR Chengkuan Hong, Christian R. Shelton
2021	A	`conf`	Data-Driven Structured Thermal Modeling for COTS Multi-core Processors. RTSS Seyedmehdi Hosseinimotlagh, Daniel Enright, Christian R. Shelton, Hyoseung Kim
2021	J	`jnl`	Deep Neyman-Scott Processes. CoRR Chengkuan Hong, Christian R. Shelton
2021	A	`conf`	Developing an Interdisciplinary Data Science Program. SIGCSE Mariam Salloum, Daniel R. Jeske, Wenxiu Ma, Vagelis Papalexakis, Christian R. Shelton, Vassilis J. Tsotras, Shuheng Zhou
2021	J	`jnl`	NIC-CAGE: An open-source software package for predicting optimal control fields in photo-excited chemical systems. Comput. Phys. Commun. Akber Raza, Chengkuan Hong, Xian Wang, Anshuman Kumar, Christian R. Shelton, Bryan M. Wong
2020	A	`conf`	CDeepEx: Contrastive Deep Explanations. ECAI Amir Feghahati, Christian R. Shelton, Michael J. Pazzani, Kevin Tang
2020	A	`conf`	Features or Shape? Tackling the False Dichotomy of Time Series Classification. SDM Sara Alaee, Alireza Abdoli, Christian R. Shelton, Amy C. Murillo, Alec C. Gerry, Eamonn J. Keogh
2019	A	`conf`	CNN-BLSTM-CRF Network for Semantic Labeling of Students' Online Handwritten Assignments. ICDAR Amirali Darvishzadeh, Thomas F. Stahovich, Amir Feghahati, Negin Entezari, Shaghayegh Gharghabi, Reed Kanemaru, Christian R. Shelton
2019	—	`conf`	Distributed Learning of Neural Networks with One Round of Communication. PKDD/ECML Workshops (1) Mike Izbicki, Christian R. Shelton
2019	—	`conf`	Distributed Learning of Non-convex Linear Models with One Round of Communication. ECML/PKDD (2) Mike Izbicki, Christian R. Shelton
2019	J	`jnl`	Features or Shape? Tackling the False Dichotomy of Time Series Classification. CoRR Sara Alaee, Alireza Abdoli, Christian R. Shelton, Amy C. Murillo, Alec C. Gerry, Eamonn J. Keogh
2018	—	`conf`	Explaining Contrasting Categories. IUI Workshops Michael J. Pazzani, Amir Feghahati, Christian R. Shelton, Aaron R. Seitz
2018	A*	`conf`	Hawkes Process Inference With Missing Data. AAAI Christian R. Shelton, Zhen Qin, Chandini Shetty
2018	—	`conf`	Modeling "Presentness" of Electronic Health Record Data to Improve Patient State Estimation. MLHC Jacob Fauber, Christian R. Shelton
2017	J	`jnl`	Event Detection in Continuous Video: An Inference in Point Process Approach. IEEE Trans. Image Process. Zhen Qin, Christian R. Shelton
2017	C	`conf`	Identification of destabilizing attacks in power systems. ACC Mike Izbicki, Sajjad Amini, Christian R. Shelton, Hamed Mohsenian Rad
2017	—	`conf`	Marked Point Process for Severity of Illness Assessment. MLHC Kazi T. Islam, Christian R. Shelton, Juan I. Casse, Randall C. Wetzel
2016	J	`jnl`	Social Grouping for Multi-Target Tracking and Head Pose Estimation in Video. IEEE Trans. Pattern Anal. Mach. Intell. Zhen Qin, Christian R. Shelton
2015	A	`conf`	Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models. UAI Zhen Qin, Christian R. Shelton
2015	A*	`conf`	Faster cover trees. ICML Mike Izbicki, Christian R. Shelton
2014	A*	`conf`	Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes. ICML E. Busra Celikkaya, Christian R. Shelton
2014	J	`jnl`	Intrusion Detection using Continuous Time Bayesian Networks. CoRR Jing Xu, Christian R. Shelton
2014	J	`jnl`	Tutorial on Structured Continuous-Time Markov Processes. J. Artif. Intell. Res. Christian R. Shelton, Gianfranco Ciardo
2013	J	`jnl`	A new criterion function for exploratory blockmodeling for structural and regular equivalence. Soc. Networks Juan I. Casse, Christian R. Shelton, Robert A. Hanneman
2013	J	`jnl`	Continuous Time Bayesian Networks CoRR Uri Nodelman, Christian R. Shelton, Daphne Koller
2013	J	`jnl`	Policy Improvement for POMDPs Using Normalized Importance Sampling CoRR Christian R. Shelton
2013	J	`jnl`	Reinforcement Learning with Partially Known World Dynamics CoRR Christian R. Shelton
2013	A	`conf`	Social grouping for target handover in multi-view video. ICME Zhen Qin, Christian R. Shelton, Lunshao Chai
2012	J	`jnl`	Automated, highly-accurate, bug assignment using machine learning and tossing graphs. J. Syst. Softw. Pamela Bhattacharya, Iulian Neamtiu, Christian R. Shelton
2012	J	`jnl`	Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks CoRR Uri Nodelman, Christian R. Shelton, Daphne Koller
2012	J	`jnl`	Expectation Propagation for Continuous Time Bayesian Networks CoRR Uri Nodelman, Daphne Koller, Christian R. Shelton
2012	J	`jnl`	Factored Filtering of Continuous-Time Systems CoRR E. Busra Celikkaya, Christian R. Shelton, William Lam
2012	A*	`conf`	Improving multi-target tracking via social grouping. CVPR Zhen Qin, Christian R. Shelton
2012	J	`jnl`	Learning Continuous Time Bayesian Networks CoRR Uri Nodelman, Christian R. Shelton, Daphne Koller
2012	J	`jnl`	Learning Continuous-Time Social Network Dynamics CoRR Yu Fan, Christian R. Shelton
2012	B	`conf`	Re-ranking using compression-based distance measure for Content-based Commercial Product Image Retrieval. ICIP Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Christian R. Shelton
2012	J	`jnl`	Visualization of Collaborative Data. CoRR Guobiao Mei, Christian R. Shelton
2011	J	`jnl`	A Continuation Method for Nash Equilibria in Structured Games CoRR Ben Blum, Daphne Koller, Christian R. Shelton
2011	A*	`conf`	A particle filter for monocular vision-aided odometry. ICRA Teddy N. Yap Jr., Mingyang Li, Anastasios I. Mourikis, Christian R. Shelton
2011	J	`jnl`	Applying modality and equivalence concepts to pattern finding in social process-produced data. Soc. Netw. Anal. Min. Robert A. Hanneman, Christian R. Shelton
2011	A	`conf`	Factored Filtering of Continuous-Time Systems. UAI E. Busra Celikkaya, Christian R. Shelton, William Lam
2010	J	`jnl`	Annotating Historical Archives of Images. Int. J. Digit. Libr. Syst. Xiaoyue Wang, Lexiang Ye, Eamonn J. Keogh, Christian R. Shelton
2010	J	`jnl`	Continuous Time Bayesian Network Reasoning and Learning Engine. J. Mach. Learn. Res. Christian R. Shelton, Yu Fan, William Lam, Joon Lee, Jing Xu
2010	J	`jnl`	Importance Sampling for Continuous Time Bayesian Networks. J. Mach. Learn. Res. Yu Fan, Jing Xu, Christian R. Shelton
2010	—	`conf`	Interactive Event Search through Transfer Learning. ACCV (3) Antony Lam, Amit K. Roy-Chowdhury, Christian R. Shelton
2010	J	`jnl`	Intrusion Detection using Continuous Time Bayesian Networks. J. Artif. Intell. Res. Jing Xu, Christian R. Shelton
2010	J	`jnl`	Predicting conserved protein motifs with Sub-HMMs. BMC Bioinform. Kevin Horan, Christian R. Shelton, Thomas Girke
2009	A	`conf`	Learning Continuous-Time Social Network Dynamics. UAI Yu Fan, Christian R. Shelton
2009	J	`jnl`	Momentum control for balance. ACM Trans. Graph. Adriano Macchietto, Victor B. Zordan, Christian R. Shelton
2009	A*	`conf`	SLAM in large indoor environments with low-cost, noisy, and sparse sonars. ICRA Teddy N. Yap Jr., Christian R. Shelton
2008	—	`conf`	Annotating historical archives of images. JCDL Xiaoyue Wang, Lexiang Ye, Eamonn J. Keogh, Christian R. Shelton
2008	—	`conf`	Catenary Support Vector Machines. ECML/PKDD (1) Kin Fai Kan, Christian R. Shelton
2008	—	`conf`	Continuous Time Bayesian Networks for Host Level Network Intrusion Detection. ECML/PKDD (2) Jing Xu, Christian R. Shelton
2008	B	`conf`	Face recognition and alignment using support vector machines. FG Antony Lam, Christian R. Shelton
2008	Misc	`conf`	Sampling for Approximate Inference in Continuous Time Bayesian Networks. ISAIM Yu Fan, Christian R. Shelton
2008	A*	`conf`	Simultaneous learning of motion and sensor model parameters for mobile robots. ICRA Teddy N. Yap Jr., Christian R. Shelton
2008	Misc	`conf`	Solving Structured Continuous-Time Markov Decision Processes. ISAIM Kin Fai Kan, Christian R. Shelton
2008	B	`conf`	Unsupervised image embedding using nonparametric statistics. ICPR Guobiao Mei, Christian R. Shelton
2007	A	`conf`	Investigating Generative Factors of Score Matrices. AIED Titus Winters, Christian R. Shelton, Tom Payne
2006	J	`jnl`	A Continuation Method for Nash Equilibria in Structured Games. J. Artif. Intell. Res. Ben Blum, Christian R. Shelton, Daphne Koller
2006	—	`conf`	Chained Boosting. NIPS Christian R. Shelton, Wesley Huie, Kin Fai Kan
2006	J	`jnl`	Cobot in LambdaMOO: An Adaptive Social Statistics Agent. Auton. Agents Multi Agent Syst. Charles Lee Isbell Jr., Michael J. Kearns, Satinder Singh, Christian R. Shelton, Peter Stone, David P. Kormann
2006	A*	`conf`	Fast time series classification using numerosity reduction. ICML Xiaopeng Xi, Eamonn J. Keogh, Christian R. Shelton, Li Wei, Chotirat Ann Ratanamahatana
2005	A	`conf`	Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks. UAI Uri Nodelman, Christian R. Shelton, Daphne Koller
2005	A	`conf`	Expectation Propagation for Continuous Time Bayesian Networks. UAI Uri Nodelman, Daphne Koller, Christian R. Shelton
2003	A*	`conf`	A Continuation Method for Nash Equilibria in Structured Games. IJCAI Ben Blum, Christian R. Shelton, Daphne Koller
2003	A	`conf`	Learning Continuous Time Bayesian Networks. UAI Uri Nodelman, Christian R. Shelton, Daphne Koller
2002	A	`conf`	Continuous Time Bayesian Networks. UAI Uri Nodelman, Christian R. Shelton, Daphne Koller
2002	J	`jnl`	Learning from Scarce Experience CoRR Leonid Peshkin, Christian R. Shelton
2002	A*	`conf`	Learning from Scarce Experience. ICML Leonid Peshkin, Christian R. Shelton
2002	A	`conf`	Reinforcement Learning with Partially Known World Dynamics. UAI Christian R. Shelton
2001	—	`conf`	A social reinforcement learning agent. Agents Charles Lee Isbell Jr., Christian R. Shelton, Michael J. Kearns, Satinder Singh, Peter Stone
2001	—	`conf`	Cobot: A Social Reinforcement Learning Agent. NIPS Charles Lee Isbell Jr., Christian R. Shelton, Michael J. Kearns, Satinder Singh, Peter Stone
2001	—	`—`	Importance sampling for reinforcement learning with multiple objectives. Christian R. Shelton
2001	A	`conf`	Policy Improvement for POMDPs Using Normalized Importance Sampling. UAI Christian R. Shelton
2000	—	`conf`	Balancing Multiple Sources of Reward in Reinforcement Learning. NIPS Christian R. Shelton
2000	J	`jnl`	Morphable Surface Models. Int. J. Comput. Vis. Christian R. Shelton
1999	J	`jnl`	Machine Learning, Machine Vision, and the Brain. AI Mag. Tomaso A. Poggio, Christian R. Shelton
1998	J	`jnl`	A perturbation scheme for spherical arrangements with application to molecular modeling. Comput. Geom. Dan Halperin, Christian R. Shelton
1998	J	`jnl`	RAPID: Randomized pharmacophore identification for drug design. Comput. Geom. Paul W. Finn, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani, Christian R. Shelton, Suresh Venkatasubramanian, Andrew Chi-Chih Yao
1997	—	`conf`	A Perturbation Scheme for Spherical Arrangements with Application to Molecular Modeling. SCG Dan Halperin, Christian R. Shelton
1997	—	`conf`	RAPID: Randomized Pharmacophore Identification for Drug Design. SCG Paul W. Finn, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani, Christian R. Shelton, Suresh Venkatasubramanian, Andrew Chi-Chih Yao
1996	—	`conf`	Geometric Manipulation of Flexible Ligands. WACG Paul W. Finn, Dan Halperin, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani, Christian R. Shelton, Suresh Venkatasubramanian