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Regret bound of epsilon-greedy algorithm for multi-armed bandit problem

Consider $1$-subgaussian MAB with $n\geq 2$, consider the $\epsilon$-greedy algorithm: First choose each arm once and subsequently choose $A_t=\arg\max \hat \mu_i(t-1)$ with pr. $1-\epsilon_t$ and ...
Lagrangekmno4's user avatar
1 vote
0 answers
71 views

Improve HMM state estimation in latest data

I have a time-series dataset that is poisson-distributed, where each day I get a new additional datapoint. If I input all the data into a HMM (I am using code I found from hmmlearn in python) it does ...
litmus's user avatar
  • 91
4 votes
1 answer
357 views

Reducing the dataset size for KDE

I have GPS data, so 2 coordinates, and I want to estimate the busiest places (i.e. the places with more data points). However, I have a lot of points: currently ~4 million for 12 days, and I will be ...
Valeria's user avatar
  • 541
1 vote
1 answer
330 views

Algorithm for selecting largest possible value, when observing online sequence of unknown distribution?

I have been trying to devise an algorithm for a problem that's been bugging me for a while. For some weird reason I haven't been able to find any mention of this problem in the literature, so far. I ...
Marcus C.'s user avatar
  • 143
1 vote
1 answer
90 views

References for learning about online random forests

I am new to concepts of random forest. Can someone provide relevant sites where I could get learn more about using random forests to learn incoming data like an online algorithm?
0 votes
1 answer
46 views

Algorithm to find centroid of historical datapoints without storing historical data

Is there an online learning algorithm for clustering that doesn't require storing historical data?
jxieeducation's user avatar
1 vote
0 answers
460 views

Online linear regression. Possible or not? [duplicate]

I don't have a strong background in statistics, but I'm a programmer and needed to implement some statistical aggregate functions in the DSL I'm writing. This DSL processes events in an online fashion,...
Juan Lopes's user avatar
4 votes
1 answer
1k views

Basic questions about stochastic gradient descent / Robbins and Monro algorithm

I have a LOT of time series observations and I would like to estimate a simple AR(1) model $$ y_t =c+ \phi y_{t-1}+ \varepsilon_t \qquad \varepsilon_t \sim \text{N}(0, \sigma^{2}) $$ with parameters ...
4rcher's user avatar
  • 41
1 vote
1 answer
2k views

Single-pass algorithm for kurtosis

Here is a simple test I've run on MATLAB to check the validity of a single pass (online) algorithm for computing $3$rd moment and $4$th moment. ...
David Alisha's user avatar
3 votes
1 answer
120 views

Algorithms/methods for detecting regime changes in data rates

I'm looking at multiple live data streams which I process on a daily basis and would like to monitor in real time. The way I did it at first was to introduce a somewhat arbitrary upper bound for ...
Palace Chan's user avatar
  • 1,003
6 votes
2 answers
1k views

On-line detection of over-fitting in neural networks

As we train a neural network, we have access to the error-rate (both on training, and test patterns). What are standard techniques to use this information to stop the learning as quickly as possible ...
Artem Kaznatcheev's user avatar
4 votes
2 answers
2k views

Online fitting for normal distributions

I was wondering if there exist efficient online or dynamic algorithm for fitting a normal distribution to data as it comes in. I am interested in two variants: The algorithm is fed data points one at ...
Artem Kaznatcheev's user avatar
67 votes
6 answers
22k views

Efficient online linear regression

I'm analysing some data where I would like to perform ordinary linear regression, however this is not possible as I am dealing with an on-line setting with a continuous stream of input data (which ...
mikera's user avatar
  • 1,035
17 votes
5 answers
5k views

Online algorithm for mean absolute deviation and large data set

I have a little problem that is making me freaking out. I have to write procedure for an online acquisition process of a multivariate time series. At every time interval (for example 1 second), I get ...
gianluca's user avatar
  • 2,001
57 votes
10 answers
32k views

What is a good algorithm for estimating the median of a huge read-once data set? [duplicate]

I'm looking for a good algorithm (meaning minimal computation, minimal storage requirements) to estimate the median of a data set that is too large to store, such that each value can only be read once ...
PeterR's user avatar
  • 1,882