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ABC
AdaptiveDA
ALEPH
ApproxBayesInf
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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
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512 e, MLEcom
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Friday
, December 11
9:00am EST
Supervised learning labels in a fast moving environment, Alessandro Magnani (@WalmartsLab)
512 e, MLEcom
9:45am EST
Doubly Robust Off-policy Evaluation for Reinforcement Learning, Nan Jiang
512 e, MLEcom
10:30am EST
Why would you recommend me THAT!?, Aish Fenton (Netflix)
512 e, MLEcom
11:15am EST
Conservative Bandits, Roshan Shariff
512 e, MLEcom
11:30am EST
Attribute Extraction from Noisy Text Using Character-based Sequence Tagging Models, Pallika Kanani
512 e, MLEcom
11:45am EST
Filtering as a Multi-Armed Bandit, Frédéric Guillou
512 e, MLEcom
2:30pm EST
Optimal A-B Testing, Vivek Farias (MIT)
512 e, MLEcom
3:00pm EST
Real-time Predictions using Time-series Data, Devavrat Shah (MIT)
512 e, MLEcom
3:30pm EST
A Ranking Approach to Address the Click Sparsity Problem in Personalized Ad Recommendation, Sougata Chaudhuri
512 e, MLEcom
3:45pm EST
Computing Strategic and Interpretable Recommendation Sets, Marek Petrik
512 e, MLEcom
4:30pm EST
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues, Nihar Shah
512 e, MLEcom
4:45pm EST
Collaborative Filtering with Stacked Denoising AutoEncoders and Sparse Inputs, Florian Strub
512 e, MLEcom
5:00pm EST
Automatic Layout Element Detection From E-Commerce Pages, Anura Bhardwaj.
512 e, MLEcom
5:15pm EST
Cost-sensitive Learning for Bidding in Online Advertising Auctions, Flavian Vasile
512 e, MLEcom
5:30pm EST
Deep Temporal Features to Predict Repeat Buyers, Pankaj Malhotra
512 e, MLEcom
5:45pm EST
From sale prediction to product recommendation: designing, learning, and evaluating large-scale models at Criteo, Nicolas Le Roux (Criteo)
512 e, MLEcom
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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
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ABC
AdaptiveDA
ALEPH
ApproxBayesInf
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BigNeuro
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CiML
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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
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Friday
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Saturday
, December 12
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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
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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
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