About
Learning Theory is a research field devoted to studying the design and analysis of machine learning algorithms. In particular, such algorithms aim at making accurate predictions or representations based on observations.
The emphasis in COLT is on rigorous mathematical analysis using techniques from various connected fields such as probability, statistics, optimization, information theory and geometry. While theoretically rooted, learning theory puts a strong emphasis on efficient computation as well.
For more information visit the COLT 2015 website.
Videos
Invited Talks

Synthetic theory of Ricci curvature - when information theory, optimization, geo...
Aug 20, 2015
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3921 views

Laplacian Matrices of Graphs: Algorithms and Applications
Aug 20, 2015
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4476 views

Applications of Learning Theory in Algorithmic Game Theory
Aug 20, 2015
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4372 views
Computational Learning

An Almost Optimal PAC Algorithm
Aug 20, 2015
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2251 views

Cortical Learning via Prediction
Aug 20, 2015
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2517 views
Optimization I

Adaptive recovery of signals by convex optimization
Aug 20, 2015
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1673 views

Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposit...
Aug 20, 2015
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3543 views

Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity
Aug 20, 2015
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1543 views

Competing with the Empirical Risk Minimizer in a Single Pass
Aug 20, 2015
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2087 views

On the Complexity of Learning with Kernels
Aug 20, 2015
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1844 views
On-Line Learning & Bandits I

Hierarchies of Relaxations for Online Prediction Problems with Evolving Constrai...
Aug 20, 2015
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1742 views

Online Density Estimation of Bradley-Terry Models
Aug 20, 2015
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1654 views

Batched Bandit Problems
Aug 20, 2015
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1744 views

Bandit Convex Optimization: sqrt{T} Regret in One Dimension
Aug 20, 2015
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1818 views

Second-order Quantile Methods for Experts and Combinatorial Games
Aug 20, 2015
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1820 views

Achieving All with No Parameters: Adaptive NormalHedge
Aug 20, 2015
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3115 views

On the Complexity of Bandit Linear Optimization
Aug 20, 2015
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1744 views

On-Line Learning Algorithms for Path Experts with Non-Additive Losses
Aug 20, 2015
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2159 views

From Averaging to Acceleration, There is Only a Step-size
Aug 20, 2015
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1912 views
Classification

Hierarchical label queries with data-dependent partitions
Aug 20, 2015
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1713 views

Learning and inference in the presence of corrupted inputs
Aug 20, 2015
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1913 views

An Efficient Graph Based Active Learning Algorithm with Application to Nonparame...
Aug 20, 2015
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1600 views

Optimally Combining Classifiers Using Unlabeled Data
Aug 20, 2015
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1699 views

Beyond Hartigan Consistency: Merge Distortion Metric for Hierarchical Clustering
Aug 20, 2015
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1694 views

MCMC Learning
Aug 20, 2015
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2074 views

Convex Risk Minimization and Conditional Probability Estimation
Sep 9, 2015
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2580 views

Efficient Learning of Linear Separators under Bounded Noise
Aug 20, 2015
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1926 views

A PTAS for Agnostically Learning Halfspaces
Aug 20, 2015
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1588 views
Unsupervised Learning

Tensor principal component analysis
Aug 20, 2015
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1649 views

Analyzing Non-Convex Optimization for Sparse Coding
Aug 20, 2015
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2524 views

Stochastic Block Model and Community Detection in the Sparse Graphs: A spectral ...
Aug 20, 2015
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1693 views

Online PCA with Spectral Bounds
Aug 20, 2015
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2287 views

Correlation Clustering with Noisy Partial Information
Aug 20, 2015
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1362 views

Partitioning Well-Clustered Graphs: Spectral Clustering Works!
Aug 20, 2015
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1643 views

Norm-Based Capacity Control in Neural Networks
Aug 20, 2015
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1939 views
Optimization, Online Learning, Loss Functions

Exp-Concavity of Proper Composite Losses
Aug 20, 2015
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1607 views

Label optimal regret bounds for online local learning
Aug 20, 2015
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2439 views

On Consistent Surrogate Risk Minimization and Property Elicitation
Aug 20, 2015
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2211 views

Low Rank Matrix Completion with Exponential Family Noise
Aug 20, 2015
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1918 views

Escaping the Local Minima via Simulated Annealing: Optimization of Approximately...
Aug 20, 2015
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1920 views

Improved Sum-of-Squares Lower Bounds for Hidden Clique and Hidden Submatrix Prob...
Aug 20, 2015
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1656 views

Generalized Mixability via Entropic Duality
Aug 20, 2015
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1703 views

Sequential Information Maximization: When is Greedy Near-optimal?
Aug 20, 2015
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1999 views

The entropic barrier: a simple and optimal universal self-concordant barrier
Aug 20, 2015
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2709 views

Fast Exact Matrix Completion with Finite Samples
Aug 20, 2015
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1749 views

Vector-Valued Property Elicitation
Aug 20, 2015
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1800 views
Estimation, Generative Models

On Learning Distributions from their Samples
Aug 20, 2015
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1955 views

Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification
Aug 20, 2015
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1906 views

Optimum Statistical Estimation with Strategic Data Sources
Aug 20, 2015
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1813 views

Learning Overcomplete Latent Variable Models through Tensor Methods
Aug 20, 2015
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3768 views

Learning the dependence structure of rare events: a non-asymptotic study
Aug 20, 2015
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1838 views
On-Line Learning & Bandits II

Minimax Fixed-Design Linear Regression
Aug 20, 2015
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2003 views

Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem
Aug 20, 2015
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1632 views

A Chaining Algorithm for Online Nonparametric Regression
Aug 20, 2015
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1868 views

Online Learning with Feedback Graphs: Beyond Bandits
Aug 20, 2015
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1884 views

Contextual Dueling Bandits
Aug 20, 2015
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1925 views

First-order regret bounds for combinatorial semi-bandits
Aug 20, 2015
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1722 views
Open Problems Session

The landscape of the loss surfaces of multilayer networks
Aug 20, 2015
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7509 views

Recursive Teaching Dimension Versus VC Dimension
Aug 20, 2015
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1990 views

The oracle Complexity of Smooth Convex Optimization in Nonstandard Settings
Aug 20, 2015
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1594 views

Online Sabotaged Shortest Path
Aug 20, 2015
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1826 views

Learning Quantum Circuits with Queries
Aug 20, 2015
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1475 views

Restricted Eigen Condition for Heavy Tailed Designs
Aug 20, 2015
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1652 views
Probabilistic Models and Reinforcement Learning

Thompson Sampling for Learning Parameterized Markov Decision Processes
Aug 20, 2015
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1752 views

Bad Universal Priors and Notions of Optimality
Aug 20, 2015
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1562 views

Faster Algorithms for Testing under Conditional Sampling
Aug 20, 2015
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1952 views

On Convergence of Emphatic Temporal-Difference Learning
Aug 20, 2015
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2169 views

Interactive Fingerprinting Codes and the Hardness of Preventing False Discovery
Sep 17, 2015
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1617 views

Fast Mixing for Discrete Point Processes
Aug 20, 2015
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1975 views

Computational Lower Bounds for Community Detection on Random Graphs
Aug 20, 2015
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1681 views
Regression

Minimax rates for memory-bounded sparse linear regression
Aug 20, 2015
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2330 views

Learning with Square Loss: Localization through Offset Rademacher Complexity
Aug 20, 2015
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2118 views

Algorithms for Lipschitz Learning on Graphs
Aug 20, 2015
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2989 views

Truthful Linear Regression
Aug 20, 2015
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3306 views

Regularized Linear Regression: A Precise Analysis of the Estimation Error
Aug 20, 2015
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2447 views

Variable Selection is Hard
Aug 20, 2015
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1897 views