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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3917 views

Laplacian Matrices of Graphs: Algorithms and Applications
Aug 20, 2015
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4473 views

Applications of Learning Theory in Algorithmic Game Theory
Aug 20, 2015
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4370 views
Computational Learning

An Almost Optimal PAC Algorithm
Aug 20, 2015
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2250 views

Cortical Learning via Prediction
Aug 20, 2015
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2515 views
Optimization I

Adaptive recovery of signals by convex optimization
Aug 20, 2015
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1672 views

Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposit...
Aug 20, 2015
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3542 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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2085 views

On the Complexity of Learning with Kernels
Aug 20, 2015
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1843 views
On-Line Learning & Bandits I

Hierarchies of Relaxations for Online Prediction Problems with Evolving Constrai...
Aug 20, 2015
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1738 views

Online Density Estimation of Bradley-Terry Models
Aug 20, 2015
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1653 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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1817 views

Second-order Quantile Methods for Experts and Combinatorial Games
Aug 20, 2015
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1818 views

Achieving All with No Parameters: Adaptive NormalHedge
Aug 20, 2015
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3114 views

On the Complexity of Bandit Linear Optimization
Aug 20, 2015
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1742 views

On-Line Learning Algorithms for Path Experts with Non-Additive Losses
Aug 20, 2015
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2158 views

From Averaging to Acceleration, There is Only a Step-size
Aug 20, 2015
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1911 views
Classification

Hierarchical label queries with data-dependent partitions
Aug 20, 2015
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1711 views

Learning and inference in the presence of corrupted inputs
Aug 20, 2015
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1912 views

An Efficient Graph Based Active Learning Algorithm with Application to Nonparame...
Aug 20, 2015
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1598 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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1692 views

MCMC Learning
Aug 20, 2015
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2072 views

Convex Risk Minimization and Conditional Probability Estimation
Sep 9, 2015
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2576 views

Efficient Learning of Linear Separators under Bounded Noise
Aug 20, 2015
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1925 views

A PTAS for Agnostically Learning Halfspaces
Aug 20, 2015
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1587 views
Unsupervised Learning

Tensor principal component analysis
Aug 20, 2015
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1647 views

Analyzing Non-Convex Optimization for Sparse Coding
Aug 20, 2015
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2523 views

Stochastic Block Model and Community Detection in the Sparse Graphs: A spectral ...
Aug 20, 2015
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1691 views

Online PCA with Spectral Bounds
Aug 20, 2015
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2285 views

Correlation Clustering with Noisy Partial Information
Aug 20, 2015
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1360 views

Partitioning Well-Clustered Graphs: Spectral Clustering Works!
Aug 20, 2015
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1641 views

Norm-Based Capacity Control in Neural Networks
Aug 20, 2015
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1937 views
Optimization, Online Learning, Loss Functions

Exp-Concavity of Proper Composite Losses
Aug 20, 2015
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1606 views

Label optimal regret bounds for online local learning
Aug 20, 2015
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2437 views

On Consistent Surrogate Risk Minimization and Property Elicitation
Aug 20, 2015
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2209 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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1919 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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1702 views

Sequential Information Maximization: When is Greedy Near-optimal?
Aug 20, 2015
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1997 views

The entropic barrier: a simple and optimal universal self-concordant barrier
Aug 20, 2015
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2707 views

Fast Exact Matrix Completion with Finite Samples
Aug 20, 2015
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1747 views

Vector-Valued Property Elicitation
Aug 20, 2015
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1798 views
Estimation, Generative Models

On Learning Distributions from their Samples
Aug 20, 2015
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1954 views

Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification
Aug 20, 2015
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1905 views

Optimum Statistical Estimation with Strategic Data Sources
Aug 20, 2015
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1810 views

Learning Overcomplete Latent Variable Models through Tensor Methods
Aug 20, 2015
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3767 views

Learning the dependence structure of rare events: a non-asymptotic study
Aug 20, 2015
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1836 views
On-Line Learning & Bandits II

Minimax Fixed-Design Linear Regression
Aug 20, 2015
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1999 views

Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem
Aug 20, 2015
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1630 views

A Chaining Algorithm for Online Nonparametric Regression
Aug 20, 2015
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1865 views

Online Learning with Feedback Graphs: Beyond Bandits
Aug 20, 2015
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1883 views

Contextual Dueling Bandits
Aug 20, 2015
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1924 views

First-order regret bounds for combinatorial semi-bandits
Aug 20, 2015
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1720 views
Open Problems Session

The landscape of the loss surfaces of multilayer networks
Aug 20, 2015
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7504 views

Recursive Teaching Dimension Versus VC Dimension
Aug 20, 2015
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1985 views

The oracle Complexity of Smooth Convex Optimization in Nonstandard Settings
Aug 20, 2015
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1592 views

Online Sabotaged Shortest Path
Aug 20, 2015
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1825 views

Learning Quantum Circuits with Queries
Aug 20, 2015
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1474 views

Restricted Eigen Condition for Heavy Tailed Designs
Aug 20, 2015
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1651 views
Probabilistic Models and Reinforcement Learning

Thompson Sampling for Learning Parameterized Markov Decision Processes
Aug 20, 2015
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1749 views

Bad Universal Priors and Notions of Optimality
Aug 20, 2015
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1561 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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2167 views

Interactive Fingerprinting Codes and the Hardness of Preventing False Discovery
Sep 17, 2015
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1614 views

Fast Mixing for Discrete Point Processes
Aug 20, 2015
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1972 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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2328 views

Learning with Square Loss: Localization through Offset Rademacher Complexity
Aug 20, 2015
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2117 views

Algorithms for Lipschitz Learning on Graphs
Aug 20, 2015
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2985 views

Truthful Linear Regression
Aug 20, 2015
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3305 views

Regularized Linear Regression: A Precise Analysis of the Estimation Error
Aug 20, 2015
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2444 views

Variable Selection is Hard
Aug 20, 2015
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1895 views