Her main research interests are machine learning, computational aspects in economics and game theory, and algorithms. Prior to that I was a postdoctoral fellow at the Center for Research on Computation and Societyunder the supervision of the brilliant Prof. Barbara Hammer , Bielefeld University, Germany. Barbara Hammer, Bielefeld University, Germany. These include interactive learning, where the algorithm and the domain expert engage in a dialogue to facilitate more accurate learning from less data compared to the classic approach of passively observing labeled data; distributed learning, where a large dataset is distributed across multiple servers and the challenge lies in learning with limited communication; and multi-task learning, where the goal is to solve multiple related learning problems from less data by taking advantage of relationship among the learning tasks. Her goal is to provide new frameworks explaining the fundamental underlying principles, as well as new powerful, principled, and practical learning algorithms designed to satisfy the new types of constraints and challenges of these modern settings including statistical efficiency, computational efficiency, noise tolerance, limited supervision or interaction, privacy, low communication, and incentives. In the talk, we will present relational and kernel extensions of LVQ and we will show in how far these different variants are specific instances of one general framework.

Geometric means of distributions. Nina balcan thesis – creative writing homework year 2 If non-english example owl purdue thesis writers have a good potential option, this one was answering the question: We will focus on modern variants of LVQ which are based on cost functions and which can be complemented with a clear learning theoretical foundation. This principle is well established for vectorial LVQ, and often referred to as relevance or matrix learning. Within the talk, we will focus on two recent extensions of these techniques which are of interest as soon as data become more complex:

nina balcan thesis

His research focuses on machine learning, Bayesian modeling and neuroimaging where he primarily research unsupervised learning strategies for modeling neuroimaging data, networks and multi-way data sets.

A big triumph of smoothed analysis was showing that the simplex algorithm for solving linear programs is runs in polynomial time under reasonable smoothing conditions.

Nina Balcan Thesis

These include interactive learning, where the algorithm and the domain expert engage in a dialogue to facilitate more accurate learning from less data compared to the niina approach of passively observing labeled data; distributed learning, where a large dataset is distributed across multiple servers and galcan challenge lies in learning with limited communication; and multi-task learning, where the goal is to solve multiple related learning problems from less data by taking advantage of relationship among the learning tasks.

  EXEMPLE DISSERTATION EXPLICATIVE - RHINOCÉROS

These assumptions are probably something stronger than distribution-independent e. Body Of A Research Essay Contemporary religion secularisation thesis funny essay topics for high school nursing health assessment a critical thinking case studies approach ap english lit past essay questions difference between abstract and introduction in a thesis. Causes Of Stress On Students Essay Legal essays michael bayles essay planner pdf find my homework tree of life essay paper an example of an essay with references.

Applications to the modeling of functional and structural brain connectivity as well as social networks will be demonstrated.

An important unsupervised learning task which has received significant recent interest is identifying overlapping clusters, or communities, in networks ranging from professional contact networks to citation networks to product purchasing networks. This principle is well established for vectorial LVQ, and often referred bina as relevance or matrix learning.

Slides of the talk: Within machine learning, a major goal of her research is to develop foundations and algorithms for important modern learning paradigms. Of course, if instead of maximizing over DIST we consider some particular distribution DIST balcsn get a lower bound on the worst-case approximation of any algorithm. So the question is how to extend this technology if data are given in terms of proximities only?

I have a B. Furthermore, for interesting settings of the parameters, we also provide a local algorithm with a strong stochastic performance guarantees that can find a community in time nearly linear in the of size the community as opposed to the size of the network.

nina balcan thesis

There is a lot of theory for supervised learning and quite a bit for online learning and density estimation. February 8, Workshop Proposals Due: The resolution of this conjecture suggests that a natural method of proving a lower bound for approximation is generally tight but we still do not really understand why. PAC-Bayes theory provides some very tight generalization bounds, nuna in supervised and unsupervised learning, density estimation, and reinforcement learning.

Single agent monopoly pricing for revenue.

Maria Florina Balcan Joins ML Faculty

Her goal is to provide new frameworks explaining the fundamental underlying principles, as well as new powerful, principled, and practical learning algorithms designed to satisfy the new types of constraints and challenges of these modern settings including statistical efficiency, computational efficiency, noise tolerance, limited supervision or interaction, privacy, low communication, and incentives.

Essays on mesopotamian culture term paper ethics bwlcan law how to write introduction essay sample no homework quotes essay on why i want to be bbalcan interior designer.

  BARÈME DISSERTATION BAC FRANÇAIS

While many heuristics and optimization criteria have been proposed, a lot of the previous work has disallowed natural communities such as those containing highly popular nodes, or have not given general guarantees on the computation time needed to find all overlapping communities meeting certain criteria.

LVQ crucially depends on the metric which is used to compare data; usually, this metric comes from some parametrized form, and the exact choice of the metric parameters can be crucial for the success.

By contrast to previous work, our new formalization leads to discovering natural types of communities and enabled us to design efficient algorithms for identifying all such communities. There is also an area somewhat within statistical learning theory called PAC-Bayesian theory.

Resistance in the novel meridian by alice walker Law school process essays Contest essay house Perpetrators relationship to victim chart Case study vara Thesis statements balcann papers Pragmatism in education essay Argue for or against the limitation of speed limits Dramatic monologue the crucible Global system on chip test balvan market How to write a post arbitration brief.

Her areas of expertise include hybrid systems, self-organizing maps, clustering, and recurrent networks as well as applications in bioinformatics, industrial process monitoring, or cognitive science.

3rd International Workshop on Similarity-Based Pattern Analysis and Recognition

Luckily, those in the computational complexity theory community deal with these issues, so some very smart people have thought about this. In this work, we develop effective balacn for identifying natural self-determined communities in social networks and in more general affinity systems.

In this work, we develop effective methods for identifying natural self-determined communities in social networks and in more general affinity systems. In the talk, we will present relational and kernel extensions of LVQ and we will show in how far these different variants are specific instances of one general framework.

Learning Theory: What Next?

These communities have the property that their members collectively prefer each other to anyone else outside the community. Essay On Adoption Of Pets Sample thesis cover page dedication for the research paper 3 parts of an essay thesis knock knock jokes critical essays on salinger’s the catcher in the rye. Barbara Hammer, Bielefeld University, Germany.