Stem mont$ (all stems)

78 papers:

DATE-2015-AfacanBPDB #hybrid #monte carlo

A hybrid Quasi Monte Carlo method for yield aware analog circuit sizing tool (EA, GB, AEP, GD, IFB), pp. 1225–1228.

ICML-2015-Betancourt #monte carlo #scalability

The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling (MB), pp. 533–540.

ICML-2015-ChaoSMS #exponential #integration #monte carlo

Exponential Integration for Hamiltonian Monte Carlo (WLC, JS, DM, FS), pp. 1142–1151.

ICML-2015-NaessethLS #monte carlo

Nested Sequential Monte Carlo Methods (CAN, FL, TBS), pp. 1292–1301.

ICML-2015-SalimansKW #markov #monte carlo

Markov Chain Monte Carlo and Variational Inference: Bridging the Gap (TS, DPK, MW), pp. 1218–1226.

ICML-2015-WangFS #for free #monte carlo #privacy #probability

Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo (YXW, SEF, AJS), pp. 2493–2502.

SAC-2015-Rubio-MonteroPG #adaptation #evaluation #framework #monte carlo

Evaluation of an adaptive framework for resilient Monte Carlo executions (AJRM, MARP, RMG), pp. 448–455.

HPDC-2015-XiaoCHZ #cpu #gpu #monte carlo

Monte Carlo Based Ray Tracing in CPU-GPU Heterogeneous Systems and Applications in Radiation Therapy (KX, DZC, XSH, BZ), pp. 247–258.

ICML-c1-2014-BardenetDH #adaptation #approach #markov #monte carlo #scalability #towards

Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach (RB, AD, CCH), pp. 405–413.

ICML-c1-2014-LanZS #monte carlo

Spherical Hamiltonian Monte Carlo for Constrained Target Distributions (SL, BZ, BS), pp. 629–637.

ICML-c1-2014-Sohl-DicksteinMD #monte carlo

Hamiltonian Monte Carlo Without Detailed Balance (JSD, MM, MRD), pp. 719–726.

ICML-c1-2014-YangSAM #invariant #kernel #monte carlo

Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels (JY, VS, HA, MWM), pp. 485–493.

ICML-c2-2014-ChenFG #monte carlo #probability

Stochastic Gradient Hamiltonian Monte Carlo (TC, EBF, CG), pp. 1683–1691.

ICML-c2-2014-JunB #memory management #monte carlo #performance

Memory (and Time) Efficient Sequential Monte Carlo (SHJ, ABC), pp. 514–522.

ICML-c2-2014-NeufeldGSS #adaptation #monte carlo

Adaptive Monte Carlo via Bandit Allocation (JN, AG, CS, DS), pp. 1944–1952.

ICML-c2-2014-SuttonMPH #equivalence #monte carlo

A new Q(λ) with interim forward view and Monte Carlo equivalence (RSS, ARM, DP, HvH), pp. 568–576.

CASE-2013-Geldmann #image #monte carlo #simulation #using

Fine registration of SEM and AFM images using Monte Carlo simulations (CG), pp. 813–818.

DATE-2013-SchryverTW #monte carlo #multi

A multi-level Monte Carlo FPGA accelerator for option pricing in the Heston model (CdS, PT, NW), pp. 248–253.

ICML-c1-2013-WilliamsonDX #markov #modelling #monte carlo #parallel #parametricity

Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models (SW, AD, EPX), pp. 98–106.

ICML-c2-2013-CarpentierM #integration #monte carlo #towards

Toward Optimal Stratification for Stratified Monte-Carlo Integration (AC, RM), pp. 28–36.

ICML-c3-2013-WangMF #adaptation #monte carlo

Adaptive Hamiltonian and Riemann Manifold Monte Carlo (ZW, SM, NdF), pp. 1462–1470.

DAC-2012-KuoHCKC #design #monte carlo #performance

Efficient trimmed-sample Monte Carlo methodology and yield-aware design flow for analog circuits (CCK, WYH, YHC, JFK, YKC), pp. 1113–1118.

CIKM-2012-EmrichKNRSZ #graph #monte carlo #nondeterminism #probability #query

Exploration of monte-carlo based probabilistic query processing in uncertain graphs (TE, HPK, JN, MR, AS, AZ), pp. 2728–2730.

ICML-2012-WangWHL #learning #monte carlo

Monte Carlo Bayesian Reinforcement Learning (YW, KSW, DH, WSL), p. 105.

ICPR-2012-WangL12a #monte carlo

Hamiltonian Monte Carlo estimator for abrupt motion tracking (FW, ML), pp. 3066–3069.

SIGIR-2012-Cummins #modelling #monte carlo #performance #predict #simulation #using

Investigating performance predictors using monte carlo simulation and score distribution models (RC), pp. 1097–1098.

DAC-2011-GongYH #analysis #monte carlo #orthogonal #performance #probability

Fast non-monte-carlo transient noise analysis for high-precision analog/RF circuits by stochastic orthogonal polynomials (FG, HY, LH), pp. 298–303.

DAC-2011-IqbalSH #dependence #fault #monte carlo #named #power management #probability #scheduling

SEAL: soft error aware low power scheduling by Monte Carlo state space under the influence of stochastic spatial and temporal dependencies (NI, MAS, JH), pp. 134–139.

DATE-2011-MerrettAWZRMRLFA #analysis #modelling #monte carlo #performance #statistics #variability

Modelling circuit performance variations due to statistical variability: Monte Carlo static timing analysis (MM, PA, YW, MZ, DR, CM, SR, ZL, SBF, AA), pp. 1537–1540.

FASE-2011-OudinetDGLP #model checking #monte carlo

Uniform Monte-Carlo Model Checking (JO, AD, MCG, RL, SP), pp. 127–140.

DAC-2010-VeetilCSB #monte carlo #performance #resource management

Efficient smart monte carlo based SSTA on graphics processing units with improved resource utilization (VV, YHC, DS, DB), pp. 793–798.

DATE-2010-IqbalSH10a #estimation #execution #graph #monte carlo #named

DAGS: Distribution agnostic sequential Monte Carlo scheme for task execution time estimation (NI, MAS, JH), pp. 1645–1648.

DATE-2010-JaffariA #estimation #monte carlo

Practical Monte-Carlo based timing yield estimation of digital circuits (JJ, MA), pp. 807–812.

DATE-2010-KanoriaMM #analysis #markov #monte carlo #statistics #using

Statistical static timing analysis using Markov chain Monte Carlo (YK, SM, AM), pp. 813–818.

ICPR-2010-KimL #markov #monte carlo #optimisation #random #using

Continuous Markov Random Field Optimization Using Fusion Move Driven Markov Chain Monte Carlo Technique (WK, KML), pp. 1364–1367.

ICPR-2010-LeeCL #algorithm #data-driven #graph #markov #monte carlo #using

A Graph Matching Algorithm Using Data-Driven Markov Chain Monte Carlo Sampling (JL, MC, KML), pp. 2816–2819.

ICPR-2010-ZhouL #approximate #monte carlo #optimisation #performance

Efficient Polygonal Approximation of Digital Curves via Monte Carlo Optimization (XZ, YL), pp. 3513–3516.

ICML-2009-SilverT #monte carlo #simulation

Monte-Carlo simulation balancing (DS, GT), pp. 945–952.

CAV-2009-KitchenK #constraints #integer #markov #monte carlo

A Markov Chain Monte Carlo Sampler for Mixed Boolean/Integer Constraints (NK, AK), pp. 446–461.

DAC-2008-VeetilSB #analysis #incremental #monte carlo #performance #statistics

Efficient Monte Carlo based incremental statistical timing analysis (VV, DS, DB), pp. 676–681.

SIGMOD-2008-JampaniXWPJH #approach #monte carlo #named #nondeterminism

MCDB: a monte carlo approach to managing uncertain data (RJ, FX, MW, LLP, CMJ, PJH), pp. 687–700.

ICML-2008-SalakhutdinovM08a #markov #matrix #monte carlo #probability #using

Bayesian probabilistic matrix factorization using Markov chain Monte Carlo (RS, AM), pp. 880–887.

ICPR-2008-Sakai #approach #classification #incremental #monte carlo

Monte Carlo subspace method: An incremental approach to high-dimensional data classification (TS), pp. 1–4.

PADL-2008-KellerCCSB #generative #monte carlo

Specialising Simulator Generators for High-Performance Monte-Carlo Methods (GK, HCM, MMTC, DS, CBK), pp. 116–132.

DAC-2007-KimJH #estimation #monte carlo #performance

Fast, Non-Monte-Carlo Estimation of Transient Performance Variation Due to Device Mismatch (JK, KDJ, MAH), pp. 440–443.

DATE-2007-SingheeR #monte carlo #novel #performance #simulation #statistics

Statistical blockade: a novel method for very fast Monte Carlo simulation of rare circuit events, and its application (AS, RAR), pp. 1379–1384.

CHI-2007-StrachanWM #monte carlo #navigation

Show me the way to Monte Carlo: density-based trajectory navigation (SS, JW, RMS), pp. 1245–1248.

ESEC-FSE-2007-SankaranarayananCJI #constraints #feedback #generative #monte carlo #using

State space exploration using feedback constraint generation and Monte-Carlo sampling (SS, RMC, GJ, FI), pp. 321–330.

ICPR-v1-2006-WenGL #clustering #detection #markov #monte carlo

Markov Chain Monte Carlo Data Association for Merge and Split Detection in Tracking Protein Clusters (QW, JG, KLP), pp. 1030–1033.

ICPR-v1-2006-XueZZ #framework #monte carlo #multi

An integrated Monte Carlo data association framework for multi-object tracking (JX, NZ, XZ), pp. 703–706.

ICPR-v2-2006-KimK06b #estimation #graph #modelling #monte carlo #multi #online

Multi-modal Sequential Monte Carlo for On-Line Hierarchical Graph Structure Estimation in Model-based Scene Interpretation (SK, ISK), pp. 251–254.

ICPR-v2-2006-YuCMW #detection #markov #monte carlo #multi

Boosted Markov Chain Monte Carlo Data Association for Multiple Target Detection and Tracking (QY, IC, GGM, BW), pp. 675–678.

MBT-2006-CallananGRSTZ #approach #monte carlo #runtime #verification

Runtime Verification for High-Confidence Systems: A Monte Carlo Approach (SC, RG, AR, SAS, MRT, EZ), pp. 41–52.

TACAS-2005-GrosuS #model checking #monte carlo

Monte Carlo Model Checking (RG, SAS), pp. 271–286.

ICML-2005-EspositoS #classification #comparison #monte carlo

Experimental comparison between bagging and Monte Carlo ensemble classification (RE, LS), pp. 209–216.

ICML-2004-EspositoS #analysis #classification #monte carlo

A Monte Carlo analysis of ensemble classification (RE, LS).

ICPR-v3-2004-MatsuiCUM #markov #monte carlo #recognition #using

Bayesian Face Recognition using a Markov Chain Monte Carlo Method (AM, SC, FU, TM), pp. 918–921.

ICPR-v4-2004-LinWH #monte carlo

Articulate Hand Motion Capturing Based on a Monte Carlo Nelder-Mead Simplex Tracker (JL, YW, TSH), pp. 975–978.

ICPR-v4-2004-MurakitaII #markov #monte carlo #using

Human Tracking using Floor Sensors based on the Markov Chain Monte Carlo Method (TM, TI, HI), pp. 917–920.

SIGMOD-2002-ProcopiucJAM #algorithm #clustering #monte carlo #performance

A Monte Carlo algorithm for fast projective clustering (CMP, MJ, PKA, TMM), pp. 418–427.

ICML-2002-FitzgibbonDA #approximate #monte carlo #polynomial

Univariate Polynomial Inference by Monte Carlo Message Length Approximation (LJF, DLD, LA), pp. 147–154.

ICML-2002-StrensBE #markov #monte carlo #optimisation #using

Markov Chain Monte Carlo Sampling using Direct Search Optimization (MJAS, MB, NE), pp. 602–609.

ICML-2002-ThamDR #classification #learning #markov #monte carlo #using

Sparse Bayesian Learning for Regression and Classification using Markov Chain Monte Carlo (SST, AD, KR), pp. 634–641.

ICPR-v1-2002-KatoKS #distributed #monte carlo #named #smarttech

VizWear-Active: Distributed Monte Carlo Face Tracking for Wearable Active Cameras (TK, TK, KS), pp. 395–400.

ICPR-v3-2002-BaesensECV #classification #learning #markov #monte carlo #network #using

Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search (BB, MEP, RC, JV), pp. 49–52.

ICPR-v4-2002-Ichimura #estimation #image #monte carlo #probability #sequence #using

Stochastic Filtering for Motion Trajectory in Image Sequences Using a Monte Carlo Filter with Estimation of Hyper-Parameters (NI), pp. 68–73.

POPL-2001-Monniaux #analysis #monte carlo #probability #source code

An abstract Monte-Carlo method for the analysis of probabilistic programs (DM), pp. 93–101.

SAC-2001-DowellB #graph #mobile #monte carlo #network #random #simulation #validation

Connectivity of random graphs and mobile networks: validation of Monte Carlo simulation results (LJD, MLB), pp. 77–81.

ICPR-v1-2000-GidasRA #monte carlo

Tracking of Moving Objects in Cluttered Environments via Monte Carlo Filter (BG, CR, MPdA), pp. 1175–1178.

ICPR-v1-2000-MossH #markov #monte carlo #using

Alignment and Correspondence Using Markov Chain Monte Carlo (SM, ERH), pp. 1928–1931.

ICML-1999-ThrunLF #learning #markov #modelling #monte carlo #parametricity #probability #process

Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes (ST, JL, DF), pp. 415–424.

EDTC-1997-SaxenaNH #approach #estimation #monte carlo

Monte-Carlo approach for power estimation in sequential circuits (VS, FNN, INH), pp. 416–420.

KDD-1996-Smyth #clustering #monte carlo #using

Clustering Using Monte Carlo Cross-Validation (PS), pp. 126–133.

KDD-1996-StolorzC #learning #markov #monte carlo #visual notation

Harnessing Graphical Structure in Markov Chain Monte Carlo Learning (PES, PCC), pp. 134–139.

SEKE-1996-JamoussiB #generative #monte carlo #performance #random testing #testing

Efficient Monte Carlo Method for Generating Random Test Data from Irregular Test Regions (AJ, FBB), pp. 17–24.

SAC-1993-HashemiCST #monte carlo #network #paradigm #predict

Prediction Capability of Neural Networks Trained by Monte-Carlo Paradigm (RRH, AHC, NLS, JRT), pp. 9–13.

STOC-1991-BabaiCFLS #algorithm #monte carlo #performance #permutation

Fast Monte Carlo Algorithms for Permutation Groups (LB, GC, LF, EML, ÁS), pp. 90–100.

DAC-1970-MitchellG #analysis #design #monte carlo #simulation

A simulation program for monte carlo analysis and design (EELM, DG), pp. 265–270.