Search results for "samplers"

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