Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
66 | Dale R. Thompson, Griff L. Bilbro |
Sample-sort simulated annealing. |
IEEE Trans. Syst. Man Cybern. Part B |
2005 |
DBLP DOI BibTeX RDF |
|
52 | Arjun Dasgupta, Nan Zhang 0004, Gautam Das 0001 |
Turbo-charging hidden database samplers with overflowing queries and skew reduction. |
EDBT |
2010 |
DBLP DOI BibTeX RDF |
|
52 | Håkon A. Hjortland, Dag T. Wisland, Tor Sverre Lande, Claus Limbodal, Kjetil Meisal |
Thresholded samplers for UWB impulse radar. |
ISCAS |
2007 |
DBLP DOI BibTeX RDF |
|
46 | Elchanan Mossel, Allan Sly |
Rapid mixing of Gibbs sampling on graphs that are sparse on average. |
SODA |
2008 |
DBLP BibTeX RDF |
Erd?s-Rényi random graphs, Glauber dynamics, Gibbs samplers, mixing time, Ising model |
39 | Lee Jones, Audrey Girouard |
Learning with Stitch Samplers: Exploring Stitch Samplers as Contextual Instructions for E-textile Tutorials. |
Conference on Designing Interactive Systems |
2022 |
DBLP DOI BibTeX RDF |
|
36 | Jonathan M. Keith, Dirk P. Kroese, George Y. Sofronov |
Adaptive independence samplers. |
Stat. Comput. |
2008 |
DBLP DOI BibTeX RDF |
Generalized Markov sampler, Markov chain Monte Carlo, Comparative genomics, Cross-entropy, Adaptive methods |
36 | Shawna L. Thomas, Marco Morales 0001, Xinyu Tang, Nancy M. Amato |
Biasing Samplers to Improve Motion Planning Performance. |
ICRA |
2007 |
DBLP DOI BibTeX RDF |
|
36 | Amnon Ta-Shma, Christopher Umans |
Better lossless condensers through derandomized curve samplers. |
FOCS |
2006 |
DBLP DOI BibTeX RDF |
|
36 | Shuji Kijima, Tomomi Matsui |
Approximate/perfect samplers for closed Jackson networks. |
WSC |
2005 |
DBLP DOI BibTeX RDF |
|
33 | Bugra Gedik, Ling Liu 0001, Philip S. Yu |
ASAP: An Adaptive Sampling Approach to Data Collection in Sensor Networks. |
IEEE Trans. Parallel Distributed Syst. |
2007 |
DBLP DOI BibTeX RDF |
C.2.7.c Sensor networks, C.2.0.b Data communications, H.2.1.a Data models |
33 | Charbel Saber, Roger Lamberti, Muriel Muller, Yang Ni, Francisco Hirata-Flores |
Optimal correlator size for the TDSC-UWB detection method. |
Mobility Conference |
2007 |
DBLP DOI BibTeX RDF |
correlation receiver, impulse radio (IR), transmitted reference (TR), ultra-wideband (UWB) |
33 | Duncan J. Murdoch, Glen Takahara |
Perfect sampling for queues and network models. |
ACM Trans. Model. Comput. Simul. |
2006 |
DBLP DOI BibTeX RDF |
Coupling from the past, networks, queues, perfect simulation |
33 | Hanna Kurniawati, David Hsu |
Workspace-Based Connectivity Oracle: An Adaptive Sampling Strategy for PRM Planning. |
WAFR |
2006 |
DBLP DOI BibTeX RDF |
|
33 | Shyh-Jye Jou, Chih-Hsien Lin, Yen-I Wang |
A 12.5 Gbps CMOS input sampler for serial link receiver front end. |
ISCAS (2) |
2005 |
DBLP DOI BibTeX RDF |
|
33 | David M. Blei, Michael I. Jordan |
Variational methods for the Dirichlet process. |
ICML |
2004 |
DBLP DOI BibTeX RDF |
|
29 | Valerie King, Jared Saia |
Breaking the O(n2) bit barrier: scalable byzantine agreement with an adaptive adversary. |
PODC |
2010 |
DBLP DOI BibTeX RDF |
samplers, peer-to-peer, distributed computing, consensus, secret-sharing, byzantine agreement, monte carlo algorithms |
29 | Daniel David Walker, Eric K. Ringger |
Model-based document clustering with a collapsed gibbs sampler. |
KDD |
2008 |
DBLP DOI BibTeX RDF |
collapsed samplers, practical guidelines, document clustering, mcmc, em, gibbs sampling |
29 | Salil P. Vadhan |
Constructing Locally Computable Extractors and Cryptosystems in the Bounded-Storage Model. |
J. Cryptol. |
2004 |
DBLP DOI BibTeX RDF |
Everlasting security, Space-bounded adversaries, Averaging samplers, Expander graphs, Extractors, Unconditional security, Bounded-storage model |
19 | Austin Brown, Galin L. Jones |
Exact convergence analysis for metropolis-hastings independence samplers in Wasserstein distances. |
J. Appl. Probab. |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Xiang Li, Fan Bu, Ambuj Mehrish, Yingting Li, Jiale Han, Bo Cheng 0001, Soujanya Poria |
CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Yvann Le Fay, Simo Särkkä, Adrien Corenflos |
Modelling pathwise uncertainty of Stochastic Differential Equations samplers via Probabilistic Numerics. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Lingkai Kong, Yuanqi Du, Wenhao Mu, Kirill Neklyudov, Valentin De Bortol, Haorui Wang, Dongxia Wu, Aaron Ferber, Yi-An Ma, Carla P. Gomes, Chao Zhang |
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Jiarui Du, Zhijian He |
Unbiased Markov chain quasi-Monte Carlo for Gibbs samplers. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Daniel Goc, Gergely Flamich |
On Channel Simulation with Causal Rejection Samplers. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Rohan Sawhney, Daqi Lin, Markus Kettunen, Benedikt Bitterli, Ravi Ramamoorthi, Chris Wyman, Matt Pharr |
Decorrelating ReSTIR Samplers via MCMC Mutations. |
ACM Trans. Graph. |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Rishiraj Bhattacharyya, Sourav Chakraborty 0001, Yash Pote, Uddalok Sarkar, Sayantan Sen |
Testing Self-Reducible Samplers. |
AAAI |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Alexander Bagnall, Gordon Stewart 0001, Anindya Banerjee 0001 |
Formally Verified Samplers from Probabilistic Programs with Loops and Conditioning. |
Proc. ACM Program. Lang. |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Yanxin Li, Antonio Linero, Stephen G. Walker |
Latent uniform samplers on multivariate binary spaces. |
Stat. Comput. |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Joris Bierkens, Sebastiano Grazzi, Frank van der Meulen, Moritz Schauer |
Sticky PDMP samplers for sparse and local inference problems. |
Stat. Comput. |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Alessandro Viani, Adam M. Johansen, Alberto Sorrentino |
Cost free hyper-parameter selection/averaging for Bayesian inverse problems with vanilla and Rao-Blackwellized SMC samplers. |
Stat. Comput. |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Angelos Alexopoulos, Petros Dellaportas, Michalis K. Titsias |
Variance reduction for Metropolis-Hastings samplers. |
Stat. Comput. |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Sonia Lopez-Alarcon, Federico Rueda |
Compilation of Gaussian boson samplers for quantum computing. |
J. Supercomput. |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Víctor Elvira, Émilie Chouzenoux, Ömer Deniz Akyildiz, Luca Martino |
Gradient-based adaptive importance samplers. |
J. Frankl. Inst. |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Sitan Chen, Giannis Daras, Alexandros G. Dimakis |
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-Type Samplers. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Adrien Corenflos, Matthew Sutton, Nicolas Chopin |
Debiasing Piecewise Deterministic Markov Process samplers using couplings. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Gunjan Kumar, Kuldeep S. Meel, Yash Pote |
Tolerant Testing of High-Dimensional Samplers with Subcube Conditioning. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Adrien Corenflos, Simo Särkkä |
Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Johannes Zenn, Robert Bamler |
Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Francisco Vargas, Will Grathwohl, Arnaud Doucet |
Denoising Diffusion Samplers. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Francisco Vargas, Teodora Reu, Anna Kerekes |
Expressiveness Remarks for Denoising Diffusion Models and Samplers. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Yash Pote, Kuldeep S. Meel |
On Scalable Testing of Samplers. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Xiaolin Fang 0002, Caelan Reed Garrett, Clemens Eppner, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox |
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Dinghuai Zhang, Ricky Tian Qi Chen, Cheng-Hao Liu, Aaron C. Courville, Yoshua Bengio |
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Lan V. Truong |
Variable-Complexity Weighted-Tempered Gibbs Samplers for Bayesian Variable Selection. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Rishiraj Bhattacharyya, Sourav Chakraborty 0001, Yash Pote, Uddalok Sarkar, Sayantan Sen |
Testing Self-Reducible Samplers. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Elvis Nunez, Thomas Merth, Anish Prabhu, Mehrdad Farajtabar, Mohammad Rastegari, Sachin Mehta, Maxwell Horton |
On the Efficacy of Multi-scale Data Samplers for Vision Applications. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Constantine Caramanis, Dimitris Fotakis 0001, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos |
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Gersende Fort, Barbara Pascal, Patrice Abry, Nelly Pustelnik |
Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers. |
IEEE Trans. Signal Process. |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Damiano Abram, Brent Waters, Mark Zhandry |
Security-Preserving Distributed Samplers: How to Generate any CRS in One Round without Random Oracles. |
IACR Cryptol. ePrint Arch. |
2023 |
DBLP BibTeX RDF |
|
19 | Damiano Abram, Maciej Obremski, Peter Scholl |
On the (Im)possibility of Distributed Samplers: Lower Bounds and Party-Dynamic Constructions. |
IACR Cryptol. ePrint Arch. |
2023 |
DBLP BibTeX RDF |
|
19 | Zeliha Kilic, Max Schweiger, Camille Moyer, Steve Pressé |
Monte Carlo samplers for efficient network inference. |
PLoS Comput. Biol. |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Constantine Caramanis, Dimitris Fotakis 0001, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos |
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
19 | Weijian Luo, Boya Zhang, Zhihua Zhang |
Entropy-based Training Methods for Scalable Neural Implicit Samplers. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
19 | Damiano Abram, Brent Waters, Mark Zhandry |
Security-Preserving Distributed Samplers: How to Generate Any CRS in One Round Without Random Oracles. |
CRYPTO (1) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Francisco Vargas, Will Sussman Grathwohl, Arnaud Doucet |
Denoising Diffusion Samplers. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
19 | Haoran Sun, Bo Dai 0001, Charles Sutton, Dale Schuurmans, Hanjun Dai |
Any-scale Balanced Samplers for Discrete Space. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
19 | Johannes Zenn, Robert Bamler |
Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers. |
Tiny Papers @ ICLR |
2023 |
DBLP BibTeX RDF |
|
19 | Sitan Chen, Giannis Daras, Alex Dimakis |
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers. |
ICML |
2023 |
DBLP BibTeX RDF |
|
19 | Haoran Sun, Hanjun Dai, Bo Dai 0001, Haomin Zhou 0001, Dale Schuurmans |
Discrete Langevin Samplers via Wasserstein Gradient Flow. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
19 | Ansuman Banerjee, Shayak Chakraborty, Sourav Chakraborty 0001, Kuldeep S. Meel, Uddalok Sarkar, Sayantan Sen |
Testing of Horn Samplers. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
19 | Patrice Abry, Gersende Fort, Barbara Pascal, Nelly Pustelnik |
Proximal-Langevin Samplers for Nonsmooth Composite Posteriors: Application to the Estimation of Covid19 Reproduction Number. |
EUSIPCO |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Annalisa Di Bernardino, Valeria Jennings, Giacomo Dell'Omo |
Bird-Borne Samplers for Monitoring CO2 and Atmospheric Physical Parameters. |
Remote. Sens. |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Maciej Bendkowski, Olivier Bodini, Sergey Dovgal |
Tuning as convex optimisation: a polynomial tuner for multi-parametric combinatorial samplers. |
Comb. Probab. Comput. |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Oscar Miguel-Escrig, Julio-Ariel Romero-Pérez, José Sánchez Moreno, Sebastián Dormido 0001 |
Characterization of Limit Cycle Oscillations Induced by Fixed Threshold Samplers. |
IEEE Access |
2022 |
DBLP DOI BibTeX RDF |
|
19 | David A. Spade |
Approximate bounding of mixing time for multiple-step Gibbs samplers. |
Monte Carlo Methods Appl. |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Xuefeng Shi, Min Hu, Fuji Ren, Piao Shi, Xiao Sun 0003 |
ELM-Based Active Learning via Asymmetric Samplers: Constructing a Multi-Class Text Corpus for Emotion Classification. |
Symmetry |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Alexander Bagnall, Gordon Stewart 0001, Anindya Banerjee 0001 |
Formally Verified Samplers From Probabilistic Programs With Loops and Conditioning. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Maciej Bendkowski |
Automatic compile-time synthesis of entropy-optimal Boltzmann samplers. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Gersende Fort, Barbara Pascal, Patrice Abry, Nelly Pustelnik |
Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Qian Qin, Guanyang Wang |
Spectral Telescope: Convergence Rate Bounds for Random-Scan Gibbs Samplers Based on a Hierarchical Structure. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi 0002 |
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality. |
CoRR |
2022 |
DBLP BibTeX RDF |
|
19 | Rohan Sawhney, Daqi Lin, Markus Kettunen, Benedikt Bitterli, Ravi Ramamoorthi, Chris Wyman, Matt Pharr |
Decorrelating ReSTIR Samplers via MCMC Mutations. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Damiano Abram, Peter Scholl, Sophia Yakoubov |
Distributed (Correlation) Samplers: How to Remove a Trusted Dealer in One Round. |
IACR Cryptol. ePrint Arch. |
2022 |
DBLP BibTeX RDF |
|
19 | Thomas Feutrier, Marie-Eléonore Kessaci, Nadarajen Veerapen |
Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem. |
PPSN (1) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Shirui Zhao, Nimish Shah, Wannes Meert, Marian Verhelst |
Discrete Samplers for Approximate Inference in Probabilistic Machine Learning. |
DATE |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Rajesh Jayaram, David P. Woodruff, Samson Zhou |
Truly Perfect Samplers for Data Streams and Sliding Windows. |
PODS |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Damiano Abram, Peter Scholl, Sophia Yakoubov |
Distributed (Correlation) Samplers: How to Remove a Trusted Dealer in One Round. |
EUROCRYPT (1) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Mate Soos, Priyanka Golia, Sourav Chakraborty 0001, Kuldeep S. Meel |
On Quantitative Testing of Samplers. |
CP |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Matthew Sutton, Robert Salomone, Augustin Chevallier, Paul Fearnhead |
Continuously Tempered PDMP samplers. |
NeurIPS |
2022 |
DBLP BibTeX RDF |
|
19 | Yash Pote, Kuldeep S. Meel |
On Scalable Testing of Samplers. |
NeurIPS |
2022 |
DBLP BibTeX RDF |
|
19 | Jiaxin Deng, Simin Chen, Jiageng Chen, Weizhi Meng 0001 |
A Survey on Discrete Gaussian Samplers in Lattice Based Cryptography. |
EISA |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi 0002 |
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality. |
ICLR |
2022 |
DBLP BibTeX RDF |
|
19 | Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi |
Revisiting the Effects of Stochasticity for Hamiltonian Samplers. |
ICML |
2022 |
DBLP BibTeX RDF |
|
19 | Ömer Deniz Akyildiz, Joaquín Míguez |
Convergence rates for optimised adaptive importance samplers. |
Stat. Comput. |
2021 |
DBLP DOI BibTeX RDF |
|
19 | Yicheng Gong, Lu Gan 0005, Hongqing Liu |
Multi-Channel Modulo Samplers Constructed From Gaussian Integers. |
IEEE Signal Process. Lett. |
2021 |
DBLP DOI BibTeX RDF |
|
19 | Tin Lai |
sbp-env: A Python Package for Sampling-based Motion Planner and Samplers. |
J. Open Source Softw. |
2021 |
DBLP DOI BibTeX RDF |
|
19 | Emanuele Viola |
Lower bounds for samplers and data structures via the cell-probe separator. |
Electron. Colloquium Comput. Complex. |
2021 |
DBLP BibTeX RDF |
|
19 | Anand Deo, Karthyek Murthy |
Achieving Efficiency in Black Box Simulation of Distribution Tails with Self-structuring Importance Samplers. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
19 | Fernando Llorente 0001, Ernesto Curbelo, Luca Martino, Victor Elvira, David Delgado 0001 |
MCMC-driven importance samplers. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
19 | Luigi Del Debbio, Joe Marsh Rossney, Michael Wilson |
Machine Learning Trivializing Maps: A First Step Towards Understanding How Flow-Based Samplers Scale Up. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
19 | Rajesh Jayaram, David P. Woodruff, Samson Zhou |
Truly Perfect Samplers for Data Streams and Sliding Windows. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
19 | Laurent Belcour, Eric Heitz |
Lessons Learned and Improvements when Building Screen-Space Samplers with Blue-Noise Error Distribution. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
19 | Irit Dinur, Prahladh Harsha, Tali Kaufman, Inbal Livni Navon, Amnon Ta-Shma |
List-Decoding with Double Samplers. |
SIAM J. Comput. |
2021 |
DBLP DOI BibTeX RDF |
|
19 | Tin Lai, Fabio Ramos 0001 |
PlannerFlows: Learning Motion Samplers with Normalising Flows. |
IROS |
2021 |
DBLP DOI BibTeX RDF |
|
19 | Hanzhao Yu, Gyusung Park, Chris H. Kim |
Extreme Temperature Characterization of Amplifier Response up to 300 Degrees Celsius Using Integrated Heaters and On-chip Samplers. |
ESSCIRC |
2021 |
DBLP DOI BibTeX RDF |
|
19 | Charles Moussa, Hao Wang 0025, Henri Calandra, Thomas Bäck, Vedran Dunjko |
Tabu-Driven Quantum Neighborhood Samplers. |
EvoCOP |
2021 |
DBLP DOI BibTeX RDF |
|
19 | Laurent Belcour, Eric Heitz |
Lessons Learned and Improvements when Building Screen-Space Samplers with Blue-Noise Error Distribution. |
SIGGRAPH Talks |
2021 |
DBLP DOI BibTeX RDF |
|
19 | Priyanka Golia, Mate Soos, Sourav Chakraborty 0001, Kuldeep S. Meel |
Designing Samplers is Easy: The Boon of Testers. |
FMCAD |
2021 |
DBLP DOI BibTeX RDF |
|
19 | Aikaterini Chatzopoulou, Ángel F. García-Fernández, Edward Pyzer-Knapp, Simon Maskell |
SMC samplers for Bayesian Optimisation and Discovery of Additive Kernel Structure. |
FUSION |
2021 |
DBLP BibTeX RDF |
|
19 | Xin T. Tong, Matthias Morzfeld, Youssef M. Marzouk |
MALA-within-Gibbs Samplers for High-Dimensional Distributions with Sparse Conditional Structure. |
SIAM J. Sci. Comput. |
2020 |
DBLP DOI BibTeX RDF |
|