Objective
"The research topic of the current proposal lies within the area of Algorithms and Complexity.
The goal of this proposal is to advance a research program of developing
computationally efficient algorithms for learning and testing
a wide range of natural and important classes of probability distributions.
We live in an era of “big data,” where the amount of data that can be brought to bear
on questions of biology, climate, economics, etc, is vast and expanding rapidly.
Much of this raw data frequently consists of example points without corresponding labels.
The challenge of how to make sense of this unlabeled data has immediate relevance
and has rapidly become a bottleneck in scientific understanding across many disciplines.
An important class of big data is most naturally modeled as samples
from a probability distribution over a very large domain.
This prompts the basic question:
Given samples from some unknown distribution, what can we infer?
While this question has been studied for several decades
by various different communities of researchers,
both the number of samples and running time required for such estimation tasks
are not yet well understood, even for some surprisingly simple types of discrete distributions.
In this project we will develop computationally efficient algorithms
for learning and testing various classes of discrete distributions over very large domains.
Specific problems we will address include:
(1) Developing efficient algorithms to learn and test probability distributions that satisfy various
natural types of ""shape restrictions"" on the underlying probability density function.
(2) Developing efficient algorithms for learning and testing complex distributions that result
from the aggregation of many independent simple sources of randomness.
We believe that highly efficient algorithms for these estimation tasks
may play an important role for the next generation of large-scale machine learning applications."
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences economics and business economics
- natural sciences computer and information sciences data science big data
- natural sciences computer and information sciences artificial intelligence machine learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2013-CIG
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MC-CIG - Support for training and career development of researcher (CIG)
Coordinator
EH8 9YL Edinburgh
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.