• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 57 matches

• 2023
• 
  Sundar Ganesh, Fabio Nobile:
  Gradient-based optimisation of the conditional-value-at-risk using the multi-level Monte Carlo method. J. Comput. Phys. 495: 112523 (2023)
• 
  Mark-Oliver Wolf, Tom Ewen, Ivica Turkalj:
  Quantum Architecture Search for Quantum Monte Carlo Integration via Conditional Parameterized Circuits with Application to Finance. QCE 2023: 560-570
• 2022
• 
  Alan Troncoso:
  Conditional simulations of reservoir models using Sequential Monte-Carlo methods. (Simulations conditionnelles de modèles de réservoirs par méthodes séquentielles de Monte-Carlo). PSL University, Paris, France, 2022
• 
  Zhijian He:
  Sensitivity estimation of conditional value at risk using randomized quasi-Monte Carlo. Eur. J. Oper. Res. 298(1): 229-242 (2022)
• 
  Quang Huy Nguyen, Christian Y. Robert:
  Efficient conditional Monte Carlo simulations for the exponential integrals of Gaussian random fields. J. Appl. Probab. 59(2): 366-383 (2022)
• 
  Yifan Zhou, Libo Liu, Hao Li:
  Reliability estimation and optimisation of multistate flow networks using a conditional Monte Carlo method. Reliab. Eng. Syst. Saf. 221: 108382 (2022)
• 
  David F. Anderson, Kurt W. Ehlert:
  Conditional Monte Carlo for Reaction Networks. SIAM J. Sci. Comput. 44(2): 993- (2022)
• 
  Xiongjie Chen, Yunpeng Li:
  Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing Flow. EUSIPCO 2022: 782-786
• 
  Xiongjie Chen, Yunpeng Li:
  Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing Flow. CoRR abs/2203.08617 (2022)
• 
  Oriel Kiss, Michele Grossi, Enrique Kajomovitz, Sofia Vallecorsa:
  Conditional Born machine for Monte Carlo events generation. CoRR abs/2205.07674 (2022)
• 
  Sundar Ganesh, Fabio Nobile:
  Gradient-based optimisation of the conditional-value-at-risk using the multi-level Monte Carlo method. CoRR abs/2210.03485 (2022)
• 2021
• 
  Junseok Kwon:
  Graph visual tracking using conditional uncertainty minimization and minibatch Monte Carlo inference. Inf. Sci. 574: 363-376 (2021)
• 
  Tengchao Yu, Hongqiao Wang, Jinglai Li:
  Maximum Conditional Entropy Hamiltonian Monte Carlo Sampler. SIAM J. Sci. Comput. 43(5): A3607-A3626 (2021)
• 
  Chris Cannella, Mohammadreza Soltani, Vahid Tarokh:
  Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows. ICLR 2021
• 
  Chao Yu, Xiaoqun Wang:
  Quasi-Monte Carlo-Based Conditional Malliavin Method for Continuous-Time Asian Option Greeks. CoRR abs/2109.05279 (2021)
• 2020
• 
  Yijuan Liang, Chenglong Xu:
  An efficient conditional Monte Carlo method for European option pricing with stochastic volatility and stochastic interest rate. Int. J. Comput. Math. 97(3): 638-655 (2020)
• 
  Christian Urcuqui, Juan Moreno, Carlos Montenegro, Alvaro Riascos, Mateo Dulce Rubio:
  Accuracy and Fairness in a Conditional Generative Adversarial Model of Crime Prediction. BESC 2020: 1-6
• 
  Lei Lei, Christos Alexopoulos, Yijie Peng, James R. Wilson:
  Confidence Intervals and Regions for Quantiles using Conditional Monte Carlo and Generalized Likelihood Ratios. WSC 2020: 2071-2082
• 
  Marvin K. Nakayama, Zachary T. Kaplan, Yajuan Li, Bruno Tuffin, Pierre L'Ecuyer:
  Quantile Estimation Via a Combination of Conditional Monte Carlo and Randomized Quasi-Monte Carlo. WSC 2020: 301-312
• 
  Chris Cannella, Mohammadreza Soltani, Vahid Tarokh:
  Projected Latent Markov Chain Monte Carlo: Conditional Inference with Normalizing Flows. CoRR abs/2007.06140 (2020)
• 2019
• 
  Zhijian He:
  On the Error Rate of Conditional Quasi-Monte Carlo for Discontinuous Functions. SIAM J. Numer. Anal. 57(2): 854-874 (2019)
• 
  Alexander Y. Shestopaloff, Arnaud Doucet:
  Replica Conditional Sequential Monte Carlo. ICML 2019: 5749-5757
• 
  Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Antonio de Marvao, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert:
  3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders. ISBI 2019: 1643-1646
• 
  Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Antonio de Marvao, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert:
  3D High-Resolution Cardiac Segmentation Reconstruction from 2D Views using Conditional Variational Autoencoders. CoRR abs/1902.11000 (2019)
• 
  David F. Anderson, Kurt W. Ehlert:
  Conditional Monte Carlo for Reaction Networks. CoRR abs/1906.05353 (2019)
• 
  Zhijian He:
  Sensitivity estimation of conditional value at risk using randomized quasi-Monte Carlo. CoRR abs/1908.07232 (2019)
• 2018
• 
  Ye Xiao, Xiaoqun Wang:
  Conditional quasi-Monte Carlo methods and dimension reduction for option pricing and hedging with discontinuous functions. J. Comput. Appl. Math. 343: 289-308 (2018)
• 
  Alexandra V. Borodina, Oleg V. Lukashenko, Evsey Morozov:
  On Conditional Monte Carlo for the Failure Probability Estimation. ICUMT 2018: 1-5
• 2017
• 
  Ngoc Minh Nguyen, Sylvain Le Corff, Eric Moulines:
  Particle rejuvenation of Rao-Blackwellized sequential Monte Carlo smoothers for conditionally linear and Gaussian models. EURASIP J. Adv. Signal Process. 2017: 54 (2017)
• 
  Takashi Goda:
  Computing the variance of a conditional expectation via non-nested Monte Carlo. Oper. Res. Lett. 45(1): 63-67 (2017)

skipping 27 more matches