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time is up

NIPS 2016 Time series workshop - questions to the panel

Add and vote on questions you would like to ask our panelists.


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Ideas
Pros and cons
 
Votes
Deep learning is successful in a variety of ML applications. Can it be succesfully applied to time series analysis?
 
What will be the trade-offs in terms of interpretability of the prediction results?
by Subhro Das
 
9
Vote

Julian Wergieluk, Pavel Filonov, chen luo and 6 more

What are some of the most important problems and applications in the modern time series analysis (both theory and practice)?
6
Vote

rabadi, Samaneh, shengdong and 3 more

What are some successful strategies for dealing with extremly noisy time-series data?
4
Vote

Serife, Subhro, Vitaly and 1 more

Reinforcement learning is a promising avenue for future machine learning. Can techniques from time series modelling enhance reinforcement learning agents (e.g. through sensor denoising, generative modelling of the environment)?
3
Vote
jk
rabadi
Vitaly
How can ideas from time-series analysis be applied to other types of structured data? For example, can a genomic sequence can be viewed as time-series?
3
Vote
rabadi
Subhro
Vitaly
Why are dynamic factor models and other advanced methods from the econometrics literature left out of comparison results in the machine learning literature?
2
Vote
gmarti
shengdong
Time series and online learning are two different paradigms for dealing with streaming data. Can one of these be used to help with the other in theory and in practice?
2
Vote
Subhro
Vitaly
Where are we in time-series analysis? What's are the new directions and big unanswered questions in the field?
1
Vote
Azadeh
Can long sequences of data, e.g. biological sequences be treated like time series?
1
Vote
Azadeh
What's the right approach to deal with dependencies in time-series?
by Azalia
0
Vote
How the advanced time-series algorithms successfully be used in the analysis of healthcare data? Some example sources of healthcare data are: (1) Electronic Medical Records (EMR), (2) Data from wearables like apple watch, fitbit, jawbone etc
by Subhro
0
Vote
Rob Hyndman provides a set of time series for comparison. Why hasn't the machine learning literature for time series forecasting presented their performance results on such a testbed?
0
Vote
Why isn't more code made available from the machine learning literature for time series forecasting? Many of the other communities that deal with time series release packages in R so that their methods can be evaluated.
0
Vote
Why are the time series comparison results from the machine learning literature so limited when compared to the results from econometrics.
0
Vote
What are the most promising ideas and techniques for anomaly detection in streaming data?
0
Vote

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