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1Approximate Tree Matcher
http://cs.nyu.edu/cs/faculty/shasha/papers/tree.html
18 years ago by @fsteeg
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approximate
algorithms
trees
matching
approximatealgorithmstreesmatching
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1BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data
http://blinkdb.org/
8 years ago by @bshanks
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errobar
random
bigdata
approximate
database
approximation
stats
query
stochastic
db
errobarrandombigdataapproximatedatabaseapproximationstatsquerystochasticdb
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1SiMul: An AlgorithmDriven Approximate Multiplier Design for Machine Learning
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8430625
6 years ago by @loroch
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approximate
multiplier
approximatemultiplier
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1The Challenge of Multi-Operand Adders in CNNs on FPGAs
https://arxiv.org/pdf/1807.00217.pdf
6 years ago by @loroch
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approximate
deep_learning
architecture
approximatedeep_learningarchitecture
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1Graduate Algorithms
Graduate Algorithms, Spring 2001
5 years ago by @kirk86
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approximate
notes
website
algorithms
course
lecture
approximatenoteswebsitealgorithmscourselecture
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1Approximation Algorithms Course
Approximation Algorithms Course
5 years ago by @kirk86
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approximate
slides
notes
website
course
lecture
approximateslidesnoteswebsitecourselecture
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2The Design of Approximation Algorithms
The Design of Approximation Algorithms
5 years ago by @kirk86
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approximate
website
algorithms
book
approximatewebsitealgorithmsbook
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1How Google Code Search Worked: Regex Matching with a Trigram Index (2012) | Hacker News
https://news.ycombinator.com/item?id=18582469
6 years ago by @bshanks
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approximate
editdistance
approximatesearch
soundex
approx
search
approximateeditdistanceapproximatesearchsoundexapproxsearch
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1MIA-BayesBag-talk-2019
Bagged Posterior for Robust Inference
5 years ago by @kirk86
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approximate
slides
bayesian
readings
robustness
approximateslidesbayesianreadingsrobustness
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1algorithm - Nearest neighbors in high-dimensional data? - Stack Overflow
https://stackoverflow.com/questions/5751114/nearest-neighbors-in-high-dimensional-data
4 years ago by @becker
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approximate
search
nearest
neighbor
paper:fastcor
approximatesearchnearestneighborpaper:fastcor
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2Foundations of Deep Learning | Simons Institute for the Theory of Computing
https://simons.berkeley.edu/programs/dl2019
5 years ago by @kirk86
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approximate
deep-learning
stats
machine-learning
mathematics
probability
stable
theory
approximatedeep-learningstatsmachine-learningmathematicsprobabilitystabletheory
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1The Art of Approximation in Science and Engineering | MIT OpenCourseWare
The Art of Approximation in Science and Engineering | MIT OpenCourseWare
5 years ago by @kirk86
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approximate
complexity
website
book
approximatecomplexitywebsitebook
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1Advanced Approximation Algorithms
Advanced Approximation Algorithms, Spring 2008
5 years ago by @kirk86
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approximate
notes
website
course
lecture
approximatenoteswebsitecourselecture
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1GitHub - erikbern/ann-benchmarks: Benchmarks of approximate nearest neighbor libraries in Python
Benchmarks of approximate nearest neighbor libraries in Python - erikbern/ann-benchmarks
4 years ago by @becker
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approximate
comparison
efficient
python
py
knn
search
nearest
neighbor
paper:fastcor
benchmark
approximatecomparisonefficientpythonpyknnsearchnearestneighborpaper:fastcorbenchmark
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1EE 227C (Spring 2018) Convex Optimization and Approximation
EE227C (Spring 2018) Course page on Convex Optimization and Approximation
5 years ago by @kirk86
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approximate
notes
website
optimization
tutorials
course
convex
approximatenoteswebsiteoptimizationtutorialscourseconvex
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3Analyses of Deep Learning
Analyses of Deep Learning (STATS 385)
5 years ago by @kirk86
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approximate
slides
deep-learning
notes
generalization
website
course
bounds
theory
approximateslidesdeep-learningnotesgeneralizationwebsitecourseboundstheory
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1TRAPP Project
http://infolab.stanford.edu/trapp/
16 years ago by @flykeysky
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approximate
system
Performance
management
Tradeoff
Precision
data
TRAPP
stream
dsms
caching
Replication
approximatesystemPerformancemanagementTradeoffPrecisiondataTRAPPstreamdsmscachingReplication
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1Variational Inference
Variational inference
5 years ago by @kirk86
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variational
approximate
slides
notes
optimization
variationalapproximateslidesnotesoptimization
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1Stochastic Approximation
Stochastic Approximation Method, Robbins & Monro
5 years ago by @kirk86
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approximate
slides
notes
readings
optimization
tutorials
stochastic
approximateslidesnotesreadingsoptimizationtutorialsstochastic
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1Metric Embeddings and Algorithmic Applications
Metric Embeddings and Algorithmic Applications 2006
5 years ago by @kirk86
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approximate
notes
website
course
geometry
lecture
approximatenoteswebsitecoursegeometrylecture
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publications (hide)178
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1On Wieand's theorem
W. Kallenberg, and A. Koning. Statistics & Probability Letters, 25 (2): 121--132 (Nov 1, 1995)
17 years ago by @smicha
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Bahadur
efficiency
Approximate
BahadurefficiencyApproximate
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1Some simple corrected confidence intervals following a sequential test
W. Liu. Journal of Statistical Planning and Inference, 126 (1): 189--205 (Nov 1, 2004)
17 years ago by @smicha
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pivot
Approximate
pivotApproximate
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1Optimal block designs revisited: An approximate theory detour
F. Pukelsheim, and B. Sinha. Statistics & Probability Letters, 24 (4): 375--380 (September 1995)
17 years ago by @smicha
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optimality
Approximate
theory
optimalityApproximatetheory
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1On linear regression designs which maximize information
F. Pukelsheim. Journal of Statistical Planning and Inference, 4 (4): 339--364 (1980)
17 years ago by @smicha
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Design
Theory
Approximate
DesignTheoryApproximate
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1On D-optimality of exact linear regression designs with minimum support
N. Gaffke. Journal of Statistical Planning and Inference, (1987 1986)
17 years ago by @smicha
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design
and
exact
Approximate
theory
designandexactApproximatetheory
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2High accuracy approximate multiplier with error correction.
C. Lin, and I. Lin. ICCD, page 33-38. IEEE Computer Society, (2013)
7 years ago by @loroch
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approximate
hardware
digital_design
circuit
multiplier
approximatehardwaredigital_designcircuitmultiplier
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1Input Based Dynamic Reconfiguration for Low Power Image Processing and Secure Transmission
J. Narayana. International Journal of Trend in Scientific Research and Development, 2 (1): 904-912 (December 2017)
6 years ago by @ijtsrd
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Engineering
coding
low
Chassis
design
power
zig-zag
circuits
Approximate
quality
configurable
EngineeringcodinglowChassisdesignpowerzig-zagcircuitsApproximatequalityconfigurable
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2An approximate KLD based experimental design for models with intractable likelihoods
Z. Ao, and J. Li. (2020)cite arxiv:2004.00715Comment: To appear in AISTATS 2020.
5 years ago by @kirk86
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approximate
bayesian
information
divergences
uncertainty
approximatebayesianinformationdivergencesuncertainty
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2Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem
V. Chatziafratis, S. Nagarajan, I. Panageas, and X. Wang. (2019)cite arxiv:1912.04378.
5 years ago by @kirk86
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approximate
deep-learning
generalization
approximatedeep-learninggeneralization
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1Mining gold from implicit models to improve likelihood-free inference
J. Brehmer, G. Louppe, J. Pavez, and K. Cranmer. (2018)cite arxiv:1805.12244Comment: Code available at https://github.com/johannbrehmer/simulator-mining-example . v2: Fixed typos. v3: Expanded discussion, added Lotka-Volterra example. v4: Improved clarity.
5 years ago by @kirk86
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approximate
bayesian
readings
approximatebayesianreadings
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1Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems
Tianping Chen, and Hong Chen. IEEE Transactions on Neural Networks, 6 (4): 911-917 (July 1995)
4 years ago by @kirk86
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approximate
deep-learning
readings
theory
approximatedeep-learningreadingstheory
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1Efficient approximate bayesian computation coupled with Markov chain Monte Carlo without likelihood
D. Wegmann, C. Leuenberger, and L. Excoffier. Genetics, 182 (4): 1207--1218 (June 2009)
8 years ago by @yourwelcome
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Markov
chain
Bayesian
Carlo,
regularization,
Sampler
phylogenetics,
Monte
inference,
Approximate
MarkovchainBayesianCarlo,regularization,Samplerphylogenetics,Monteinference,Approximate
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1Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation: Semi-automatic Approximate Bayesian Computation
P. Fearnhead, and D. Prangle. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 74 (3): 419--474 (June 2012)
8 years ago by @yourwelcome
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R
Bayesian
inference,
Approximate
RBayesianinference,Approximate
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1Approximate Bayesian inference for large spatial datasets using predictive process models
J. Eidsvik, A. Finley, S. Banerjee, and H. Rue. Computational Statistics & Data Analysis, 56 (6): 1362--1380 (June 2012)
8 years ago by @yourwelcome
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based
approximation,
Spatial
process
processes
Bayesian
modelling,
geostatistic,
\_tablet\_modified,
inference,
Laplace
Approximate
basedapproximation,SpatialprocessprocessesBayesianmodelling,geostatistic,\_tablet\_modified,inference,LaplaceApproximate
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2INTEGRATION OF DETAILED SPATIAL DATA IN THE CALCULATION AND GRAPHICAL PRESENTATION OF E AND B
B. CESTNIK, K. GRABNER, G. HROVAT, and A. KREGAR. (2013)
4 years ago by @ceps
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Transmission
approximate
calculation
corridor
High
data
detailed
analysis
micro
Voltage
Line
location
spatial
EMF
TransmissionapproximatecalculationcorridorHighdatadetailedanalysismicroVoltageLinelocationspatialEMF
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2Approximate Inference Turns Deep Networks into Gaussian Processes
M. Khan, A. Immer, E. Abedi, and M. Korzepa. (2019)cite arxiv:1906.01930.
5 years ago by @kirk86
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approximate
deep-learning
foundations
theory
approximatedeep-learningfoundationstheory
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1Lectures On Approximation By Polynomials
J. Burkill. (1959)
5 years ago by @kirk86
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approximate
readings
theory
approximatereadingstheory
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1Fundamentals and Recent Developments in Approximate Bayesian Computation
J. Lintusaari, M. Gutmann, R. Dutta, S. Kaski, and J. Corander. (2017)
5 years ago by @kirk86
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approximate
bayesian
sampling
computation
approximatebayesiansamplingcomputation
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1Neural Network with Unbounded Activation Functions is Universal Approximator
S. Sonoda, and N. Murata. (2015)cite arxiv:1505.03654Comment: under review; first revised version.
5 years ago by @kirk86
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approximate
deep-learning
readings
learning
theory
approximatedeep-learningreadingslearningtheory
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1Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation
M. Järvenpää, A. Vehtari, and P. Marttinen. (2019)cite arxiv:1910.06121.
4 years ago by @kirk86
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approximate
gaussian-proceses
bayesian
simulations
computation
uncertainty
approximategaussian-procesesbayesiansimulationscomputationuncertainty
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