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CORR
2012
Springer
196views Education» more  CORR 2012»
14 years 12 days ago
PAC-Bayesian Policy Evaluation for Reinforcement Learning
Bayesian priors offer a compact yet general means of incorporating domain knowledge into many learning tasks. The correctness of the Bayesian analysis and inference, however, lar...
Mahdi Milani Fard, Joelle Pineau, Csaba Szepesv&aa...
CORR
2012
Springer
218views Education» more  CORR 2012»
14 years 12 days ago
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
Yaniv Plan, Roman Vershynin
CORR
2012
Springer
183views Education» more  CORR 2012»
14 years 12 days ago
Twisting q-holonomic sequences by complex roots of unity
A sequence fn(q) is q-holonomic if it satisfies a nontrivial linear recurrence with coefficients polynomials in q and qn . Our main theorem states that q-holonomicity is preserve...
Stavros Garoufalidis, Christoph Koutschan
CORR
2012
Springer
220views Education» more  CORR 2012»
14 years 12 days ago
A Bijective String Sorting Transform
Given a string of characters, the Burrows-Wheeler Transform rearranges the characters in it so as to produce another string of the same length which is more amenable to compressio...
Joseph Yossi Gil, David Allen Scott
CORR
2012
Springer
193views Education» more  CORR 2012»
14 years 12 days ago
Search versus Decision for Election Manipulation Problems
Most theoretical definitions about the complexity of manipulating elections focus on the decision problem of recognizing which instances can be successfully manipulated, rather t...
Edith Hemaspaandra, Lane A. Hemaspaandra, Curtis M...
CORR
2012
Springer
225views Education» more  CORR 2012»
14 years 12 days ago
Compressive Principal Component Pursuit
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
John Wright, Arvind Ganesh, Kerui Min, Yi Ma
170
Voted
CORR
2012
Springer
214views Education» more  CORR 2012»
14 years 12 days ago
Sum-Product Networks: A New Deep Architecture
The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are the most general conditions under...
Hoifung Poon, Pedro Domingos
CORR
2012
Springer
209views Education» more  CORR 2012»
14 years 12 days ago
Densest Subgraph in Streaming and MapReduce
The problem of finding locally dense components of a graph is an important primitive in data analysis, with wide-ranging applications from community mining to spam detection and ...
Bahman Bahmani, Ravi Kumar, Sergei Vassilvitskii
CORR
2012
Springer
188views Education» more  CORR 2012»
14 years 12 days ago
Learning RoboCup-Keepaway with Kernels
Tobias Jung, Daniel Polani
CORR
2012
Springer
188views Education» more  CORR 2012»
14 years 12 days ago
Signaling Schemes for Revenue Maximization
Yuval Emek, Michal Feldman, Iftah Gamzu, Renato Pa...