Sched.com Conference Mobile Apps
NIPS 2015 Workshops has ended
Create Your Own Event
NIPS 2015 Workshops
Schedule
Simple
Expanded
Grid
By Venue
Attendees
Search
or browse by date + venue
ABC
AdaptiveDA
ALEPH
ApproxBayesInf
BayesNonparam
BayesOpt
BigNeuro
BlackBox
CiML
CognitiveComputation1
CognitiveComputation2
ComplexNetworks
DeepRL
Extreme
FasterFromEasy
FeatureEx
Metareasoning
MLCB
MLEcom
MLHC
MLSys
MultiAgent
Multimodal
Multiresolution
NetworksInScience
Neuroimaging1
Neuroimaging2
NonConvexOpt
NonParam
OPT
Personalization
Privacy
ProbIntegration
QuantumML
RAM
ScalableMC
SpokenLanguage
StatsNeuralSys
TimeSeries
TransferAndMultitask
Popular
Sign up
or
log in
to bookmark your favorites and sync them to your phone or calendar.
menu
Menu
Schedule
Attendees
Search
tune
Filter sessions
Simple
Expanded
Grid
By Venue
Type:
ApproxBayesInf
[
clear filter
]
Friday
, December 11
8:30am EST
Introduction
513 ab, ApproxBayesInf
8:35am EST
Rajesh Ranganath: Challenges to variational inference: Optimization, automation, and accuracy
513 ab, ApproxBayesInf
9:00am EST
Theophane Weber: Reinforced Variational Inference (contributed)
513 ab, ApproxBayesInf
9:15am EST
Panel: Tricks of the Trade.
513 ab, ApproxBayesInf
10:30am EST
Andrea Montanari: Approximate inference with semidefinite relaxations
513 ab, ApproxBayesInf
10:55am EST
Rajesh Ranganath: Hierarchical Variational Models (contributed)
513 ab, ApproxBayesInf
11:10am EST
Poster spotlights
513 ab, ApproxBayesInf
11:30am EST
Poster session
513 ab, ApproxBayesInf
2:40pm EST
James Hensman: A framework for variational inference in Gaussian process models
513 ab, ApproxBayesInf
3:05pm EST
Daniel Hernandez-Lobato: Stochastic Expectation Propagation for Large Scale Gaussian Process Classification (contributed)
513 ab, ApproxBayesInf
3:20pm EST
Cedric Archambeau: Incremental Variational Inference for Latent Dirichlet Allocation (contributed)
513 ab, ApproxBayesInf
3:35pm EST
Emily Fox: Variational inference for large-scale and streaming sequential data
513 ab, ApproxBayesInf
4:30pm EST
Manfred Opper: Approximate inference for Ising models with random couplings
513 ab, ApproxBayesInf
4:55pm EST
Panel: On the Foundations and Future of Approximate Inference
513 ab, ApproxBayesInf
Timezone
NIPS 2015 Workshops
America/New York
Filter By Date
NIPS 2015 Workshops
Dec 11
-
12, 2015
Friday
, December 11
Saturday
, December 12
Filter By Venue
Montréal
Sort schedule by Venue
511b, BayesOpt
510 ac, OPT
510 ac, RAM
510 db, MLCB
510 db, MLHC
511 a, ABC
511 a, MultiAgent
511 b, SpokenLanguage
511 c, Multiresolution
511 c, NonParam
511 d, FasterFromEasy
511 d, MLSys
511 e, BigNeuro
511 e, ComplexNetworks
511 f, Extreme
511 f, StatsNeuralSys
512 a, ProbIntegration
512 a, QuantumML
512 bf, Metareasoning
512 bf, NetworksInScience
512 cg, CognitiveComputation1
512 cg, CognitiveComputation2
512 dh, Multimodal
512 dh, Privacy
512 e, CiML
512 e, MLEcom
513 ab, ApproxBayesInf
513 ab, ScalableMC
513 cd, DeepRL
513 cd, NonConvexOpt
513 ef, BlackBox
513 ef, FeatureEx
514 a, AdaptiveDA
514 a, Personalization
514 bc, TimeSeries
514 bc, TransferAndMultitask
515 a, Neuroimaging1
515 a, Neuroimaging2
515 bc, ALEPH
515 bc, BayesNonparam
Filter By Type
ABC
AdaptiveDA
ALEPH
ApproxBayesInf
BayesNonparam
BayesOpt
BigNeuro
BlackBox
CiML
CognitiveComputation1
CognitiveComputation2
ComplexNetworks
DeepRL
Extreme
FasterFromEasy
FeatureEx
Metareasoning
MLCB
MLEcom
MLHC
MLSys
MultiAgent
Multimodal
Multiresolution
NetworksInScience
Neuroimaging1
Neuroimaging2
NonConvexOpt
NonParam
OPT
Personalization
Privacy
ProbIntegration
QuantumML
RAM
ScalableMC
SpokenLanguage
StatsNeuralSys
TimeSeries
TransferAndMultitask
Recently Active Attendees
k
F
FMZennaro
霍宇琦
CW
Cynthia Webb
Eric Davies
Saman Enayati
Edward Henry
AC
Arun Chaganty
More →
Filter sessions
Apply filters to sessions.
Filtered by
Type
(ApproxBayesInf) -
Clear filter
close
Dates
Friday
, December 11
Saturday
, December 12
Venue
511b, BayesOpt
510 ac, OPT
510 ac, RAM
510 db, MLCB
510 db, MLHC
511 a, ABC
511 a, MultiAgent
511 b, SpokenLanguage
511 c, Multiresolution
511 c, NonParam
511 d, FasterFromEasy
511 d, MLSys
511 e, BigNeuro
511 e, ComplexNetworks
511 f, Extreme
511 f, StatsNeuralSys
512 a, ProbIntegration
512 a, QuantumML
512 bf, Metareasoning
512 bf, NetworksInScience
512 cg, CognitiveComputation1
512 cg, CognitiveComputation2
512 dh, Multimodal
512 dh, Privacy
512 e, CiML
512 e, MLEcom
513 ab, ApproxBayesInf
513 ab, ScalableMC
513 cd, DeepRL
513 cd, NonConvexOpt
513 ef, BlackBox
513 ef, FeatureEx
514 a, AdaptiveDA
514 a, Personalization
514 bc, TimeSeries
514 bc, TransferAndMultitask
515 a, Neuroimaging1
515 a, Neuroimaging2
515 bc, ALEPH
515 bc, BayesNonparam
Session Type
ABC
AdaptiveDA
ALEPH
ApproxBayesInf
BayesNonparam
BayesOpt
BigNeuro
BlackBox
CiML
CognitiveComputation1
CognitiveComputation2
ComplexNetworks
DeepRL
Extreme
FasterFromEasy
FeatureEx
Metareasoning
MLCB
MLEcom
MLHC
MLSys
MultiAgent
Multimodal
Multiresolution
NetworksInScience
Neuroimaging1
Neuroimaging2
NonConvexOpt
NonParam
OPT
Personalization
Privacy
ProbIntegration
QuantumML
RAM
ScalableMC
SpokenLanguage
StatsNeuralSys
TimeSeries
TransferAndMultitask
Other Filters