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Christian R. Shelton
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- affiliation: University of California, Riverside, USA
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2020 – today
- 2024
- [c52]Dave Gomboc, Christian R. Shelton, Andrew S. Miner, Gianfranco Ciardo:
Comparing Lossless Compression Methods for Chess Endgame Data. ECAI 2024: 4116-4123 - [i17]Manyi Yao, Abhishek Aich, Yumin Suh, Amit Roy-Chowdhury, Christian R. Shelton, Manmohan Chandraker:
Efficient Transformer Encoders for Mask2Former-style models. CoRR abs/2404.15244 (2024) - 2023
- [j21]Marjuka F. Lazin
, Christian R. Shelton
High-dimensional multi-fidelity Bayesian optimization for quantum control. Mach. Learn. Sci. Technol. 4(4): 45014 (2023) - [j20]Yujia Zhai
FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs. IEEE Trans. Parallel Distributed Syst. 34(12): 3207-3223 (2023) - [c51]Chengkuan Hong, Christian R. Shelton:
Variational Inference for Neyman-Scott Processes. AISTATS 2023: 2002-2018 - [i16]Chengkuan Hong, Christian R. Shelton:
Variational Inference for Neyman-Scott Processes. CoRR abs/2303.03701 (2023) - 2022
- [c50]Chengkuan Hong, Christian R. Shelton:
Deep Neyman-Scott Processes. AISTATS 2022: 3627-3646 - 2021
- [j19]Akber Raza
NIC-CAGE: An open-source software package for predicting optimal control fields in photo-excited chemical systems. Comput. Phys. Commun. 258: 107541 (2021) - [c49]Dave Gomboc, Christian R. Shelton:
Chess Endgame Compression via Logic Minimization. ACG 2021: 153-162 - [c48]Seyedmehdi Hosseinimotlagh, Daniel Enright, Christian R. Shelton
Data-Driven Structured Thermal Modeling for COTS Multi-core Processors. RTSS 2021: 201-213 - [c47]Mariam Salloum
Developing an Interdisciplinary Data Science Program. SIGCSE 2021: 509-515 - [i15]Chengkuan Hong, Christian R. Shelton:
Convolutional Deep Exponential Families. CoRR abs/2110.14800 (2021) - [i14]Chengkuan Hong, Christian R. Shelton:
Deep Neyman-Scott Processes. CoRR abs/2111.03949 (2021) - 2020
- [c46]Amir Feghahati, Christian R. Shelton, Michael J. Pazzani, Kevin Tang:
CDeepEx: Contrastive Deep Explanations. ECAI 2020: 1143-1151 - [c45]Sara Alaee, Alireza Abdoli, Christian R. Shelton, Amy C. Murillo, Alec C. Gerry, Eamonn J. Keogh:
Features or Shape? Tackling the False Dichotomy of Time Series Classification. SDM 2020: 442-450
2010 – 2019
- 2019
- [c44]Amirali Darvishzadeh, Thomas F. Stahovich
CNN-BLSTM-CRF Network for Semantic Labeling of Students' Online Handwritten Assignments. ICDAR 2019: 1035-1040 - [c43]Mike Izbicki, Christian R. Shelton:
Distributed Learning of Non-convex Linear Models with One Round of Communication. ECML/PKDD (2) 2019: 197-212 - [c42]Mike Izbicki, Christian R. Shelton:
Distributed Learning of Neural Networks with One Round of Communication. PKDD/ECML Workshops (1) 2019: 293-300 - [i13]Sara Alaee, Alireza Abdoli, Christian R. Shelton, Amy C. Murillo, Alec C. Gerry, Eamonn J. Keogh:
Features or Shape? Tackling the False Dichotomy of Time Series Classification. CoRR abs/1912.09614 (2019) - 2018
- [c41]Christian R. Shelton, Zhen Qin, Chandini Shetty:
Hawkes Process Inference With Missing Data. AAAI 2018: 6425-6432 - [c40]Michael J. Pazzani, Amir Feghahati, Christian R. Shelton, Aaron R. Seitz:
Explaining Contrasting Categories. IUI Workshops 2018 - [c39]Jacob Fauber, Christian R. Shelton:
Modeling "Presentness" of Electronic Health Record Data to Improve Patient State Estimation. MLHC 2018: 500-513 - 2017
- [j18]Zhen Qin
Event Detection in Continuous Video: An Inference in Point Process Approach. IEEE Trans. Image Process. 26(12): 5680-5691 (2017) - [c38]Mike Izbicki, Sajjad Amini, Christian R. Shelton
Identification of destabilizing attacks in power systems. ACC 2017: 3424-3429 - [c37]Kazi T. Islam, Christian R. Shelton, Juan I. Casse, Randall C. Wetzel:
Marked Point Process for Severity of Illness Assessment. MLHC 2017: 255-270 - 2016
- [j17]Zhen Qin, Christian R. Shelton
Social Grouping for Multi-Target Tracking and Head Pose Estimation in Video. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 2082-2095 (2016) - 2015
- [c36]Mike Izbicki, Christian R. Shelton:
Faster cover trees. ICML 2015: 1162-1170 - [c35]Zhen Qin, Christian R. Shelton:
Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models. UAI 2015: 722-731 - 2014
- [j16]Christian R. Shelton, Gianfranco Ciardo
Tutorial on Structured Continuous-Time Markov Processes. J. Artif. Intell. Res. 51: 725-778 (2014) - [c34]E. Busra Celikkaya, Christian R. Shelton:
Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes. ICML 2014: 1962-1970 - [i12]Jing Xu, Christian R. Shelton:
Intrusion Detection using Continuous Time Bayesian Networks. CoRR abs/1401.3851 (2014) - 2013
- [j15]Juan I. Casse, Christian R. Shelton
A new criterion function for exploratory blockmodeling for structural and regular equivalence. Soc. Networks 35(1): 31-50 (2013) - [c33]Zhen Qin, Christian R. Shelton
Social grouping for target handover in multi-view video. ICME 2013: 1-6 - [i11]Uri Nodelman, Christian R. Shelton, Daphne Koller:
Continuous Time Bayesian Networks. CoRR abs/1301.0591 (2013) - [i10]Christian R. Shelton:
Reinforcement Learning with Partially Known World Dynamics. CoRR abs/1301.0601 (2013) - [i9]Christian R. Shelton:
Policy Improvement for POMDPs Using Normalized Importance Sampling. CoRR abs/1301.2310 (2013) - 2012
- [j14]Pamela Bhattacharya, Iulian Neamtiu, Christian R. Shelton
Automated, highly-accurate, bug assignment using machine learning and tossing graphs. J. Syst. Softw. 85(10): 2275-2292 (2012) - [c32]Zhen Qin, Christian R. Shelton
Improving multi-target tracking via social grouping. CVPR 2012: 1972-1978 - [c31]Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Christian R. Shelton
Re-ranking using compression-based distance measure for Content-based Commercial Product Image Retrieval. ICIP 2012: 1941-1944 - [i8]E. Busra Celikkaya, Christian R. Shelton, William Lam:
Factored Filtering of Continuous-Time Systems. CoRR abs/1202.3703 (2012) - [i7]Yu Fan, Christian R. Shelton:
Learning Continuous-Time Social Network Dynamics. CoRR abs/1205.2648 (2012) - [i6]Guobiao Mei, Christian R. Shelton:
Visualization of Collaborative Data. CoRR abs/1206.6850 (2012) - [i5]Uri Nodelman, Daphne Koller, Christian R. Shelton:
Expectation Propagation for Continuous Time Bayesian Networks. CoRR abs/1207.1401 (2012) - [i4]Uri Nodelman, Christian R. Shelton, Daphne Koller:
Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks. CoRR abs/1207.1402 (2012) - [i3]Uri Nodelman, Christian R. Shelton, Daphne Koller:
Learning Continuous Time Bayesian Networks. CoRR abs/1212.2498 (2012) - 2011
- [j13]Robert A. Hanneman, Christian R. Shelton
Applying modality and equivalence concepts to pattern finding in social process-produced data. Soc. Netw. Anal. Min. 1(1): 59-72 (2011) - [c30]Teddy N. Yap Jr., Mingyang Li, Anastasios I. Mourikis, Christian R. Shelton
A particle filter for monocular vision-aided odometry. ICRA 2011: 5663-5669 - [c29]E. Busra Celikkaya, Christian R. Shelton, William Lam:
Factored Filtering of Continuous-Time Systems. UAI 2011: 61-68 - [i2]Ben Blum, Daphne Koller, Christian R. Shelton:
A Continuation Method for Nash Equilibria in Structured Games. CoRR abs/1110.5886 (2011) - 2010
- [j12]Kevin Horan, Christian R. Shelton
Predicting conserved protein motifs with Sub-HMMs. BMC Bioinform. 11: 205 (2010) - [j11]Xiaoyue Wang, Lexiang Ye, Eamonn J. Keogh, Christian R. Shelton:
Annotating Historical Archives of Images. Int. J. Digit. Libr. Syst. 1(2): 59-80 (2010) - [j10]Jing Xu, Christian R. Shelton
Intrusion Detection using Continuous Time Bayesian Networks. J. Artif. Intell. Res. 39: 745-774 (2010) - [j9]Christian R. Shelton, Yu Fan, William Lam, Joon Lee, Jing Xu:
Continuous Time Bayesian Network Reasoning and Learning Engine. J. Mach. Learn. Res. 11: 1137-1140 (2010) - [j8]Yu Fan, Jing Xu, Christian R. Shelton:
Importance Sampling for Continuous Time Bayesian Networks. J. Mach. Learn. Res. 11: 2115-2140 (2010) - [c28]Antony Lam, Amit K. Roy-Chowdhury, Christian R. Shelton
Interactive Event Search through Transfer Learning. ACCV (3) 2010: 157-170
2000 – 2009
- 2009
- [j7]Adriano Macchietto, Victor B. Zordan, Christian R. Shelton
Momentum control for balance. ACM Trans. Graph. 28(3): 80 (2009) - [c27]Teddy N. Yap Jr., Christian R. Shelton
SLAM in large indoor environments with low-cost, noisy, and sparse sonars. ICRA 2009: 1395-1401 - [c26]Yu Fan, Christian R. Shelton:
Learning Continuous-Time Social Network Dynamics. UAI 2009: 161-168 - 2008
- [c25]Antony Lam, Christian R. Shelton
Face recognition and alignment using support vector machines. FG 2008: 1-6 - [c24]Guobiao Mei, Christian R. Shelton:
Unsupervised image embedding using nonparametric statistics. ICPR 2008: 1-4 - [c23]Teddy N. Yap Jr., Christian R. Shelton
Simultaneous learning of motion and sensor model parameters for mobile robots. ICRA 2008: 2091-2097 - [c22]Yu Fan, Christian R. Shelton:
Sampling for Approximate Inference in Continuous Time Bayesian Networks. ISAIM 2008 - [c21]Kin Fai Kan, Christian R. Shelton:
Solving Structured Continuous-Time Markov Decision Processes. ISAIM 2008 - [c20]Xiaoyue Wang, Lexiang Ye, Eamonn J. Keogh, Christian R. Shelton
Annotating historical archives of images. JCDL 2008: 341-350 - [c19]Kin Fai Kan, Christian R. Shelton
Catenary Support Vector Machines. ECML/PKDD (1) 2008: 597-610 - [c18]Jing Xu, Christian R. Shelton
Continuous Time Bayesian Networks for Host Level Network Intrusion Detection. ECML/PKDD (2) 2008: 613-627 - 2007
- [c17]Titus Winters, Christian R. Shelton, Tom Payne:
Investigating Generative Factors of Score Matrices. AIED 2007: 479-486 - 2006
- [j6]Charles Lee Isbell Jr., Michael J. Kearns, Satinder Singh, Christian R. Shelton
Cobot in LambdaMOO: An Adaptive Social Statistics Agent. Auton. Agents Multi Agent Syst. 13(3): 327-354 (2006) - [j5]Ben Blum, Christian R. Shelton, Daphne Koller:
A Continuation Method for Nash Equilibria in Structured Games. J. Artif. Intell. Res. 25: 457-502 (2006) - [c16]Xiaopeng Xi, Eamonn J. Keogh, Christian R. Shelton, Li Wei, Chotirat Ann Ratanamahatana:
Fast time series classification using numerosity reduction. ICML 2006: 1033-1040 - [c15]Christian R. Shelton, Wesley Huie, Kin Fai Kan:
Chained Boosting. NIPS 2006: 1281-1288 - 2005
- [c14]Uri Nodelman, Daphne Koller, Christian R. Shelton:
Expectation Propagation for Continuous Time Bayesian Networks. UAI 2005: 431-440 - [c13]Uri Nodelman, Christian R. Shelton, Daphne Koller:
Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks. UAI 2005 - 2003
- [c12]Ben Blum, Christian R. Shelton, Daphne Koller:
A Continuation Method for Nash Equilibria in Structured Games. IJCAI 2003: 757-764 - [c11]Uri Nodelman, Christian R. Shelton, Daphne Koller:
Learning Continuous Time Bayesian Networks. UAI 2003: 451-458 - 2002
- [c10]Leonid Peshkin, Christian R. Shelton:
Learning from Scarce Experience. ICML 2002: 498-505 - [c9]Uri Nodelman, Christian R. Shelton, Daphne Koller:
Continuous Time Bayesian Networks. UAI 2002: 378-387 - [c8]Christian R. Shelton:
Reinforcement Learning with Partially Known World Dynamics. UAI 2002: 461-468 - [i1]Leonid Peshkin, Christian R. Shelton:
Learning from Scarce Experience. CoRR cs.AI/0204043 (2002) - 2001
- [b1]Christian R. Shelton:
Importance sampling for reinforcement learning with multiple objectives. Massachusetts Institute of Technology, Cambridge, MA, USA, 2001 - [c7]Charles Lee Isbell Jr., Christian R. Shelton, Michael J. Kearns, Satinder Singh, Peter Stone:
A social reinforcement learning agent. Agents 2001: 377-384 - [c6]Charles Lee Isbell Jr., Christian R. Shelton, Michael J. Kearns, Satinder Singh, Peter Stone:
Cobot: A Social Reinforcement Learning Agent. NIPS 2001: 1393-1400 - [c5]Christian R. Shelton:
Policy Improvement for POMDPs Using Normalized Importance Sampling. UAI 2001: 496-503 - 2000
- [j4]Christian R. Shelton
Morphable Surface Models. Int. J. Comput. Vis. 38(1): 75-91 (2000) - [c4]Christian R. Shelton:
Balancing Multiple Sources of Reward in Reinforcement Learning. NIPS 2000: 1082-1088
1990 – 1999
- 1999
- [j3]Tomaso A. Poggio, Christian R. Shelton:
Machine Learning, Machine Vision, and the Brain. AI Mag. 20(3): 37-55 (1999) - 1998
- [j2]Paul W. Finn, Lydia E. Kavraki
RAPID: Randomized pharmacophore identification for drug design. Comput. Geom. 10(4): 263-272 (1998) - [j1]Dan Halperin, Christian R. Shelton
A perturbation scheme for spherical arrangements with application to molecular modeling. Comput. Geom. 10(4): 273-287 (1998) - 1997
- [c3]Dan Halperin, Christian R. Shelton:
A Perturbation Scheme for Spherical Arrangements with Application to Molecular Modeling. SCG 1997: 183-192 - [c2]Paul W. Finn, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani, Christian R. Shelton, Suresh Venkatasubramanian, Andrew Chi-Chih Yao:
RAPID: Randomized Pharmacophore Identification for Drug Design. SCG 1997: 324-333 - 1996
- [c1]Paul W. Finn, Dan Halperin, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani, Christian R. Shelton, Suresh Venkatasubramanian
Geometric Manipulation of Flexible Ligands. WACG 1996: 67-78
Coauthor Index
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last updated on 2024-11-20 20:55 CET by the dblp team
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