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
·
3896 views

Laplacian Matrices of Graphs: Algorithms and Applications
Aug 20, 2015
·
4457 views

Applications of Learning Theory in Algorithmic Game Theory
Aug 20, 2015
·
4358 views
Computational Learning

An Almost Optimal PAC Algorithm
Aug 20, 2015
·
2223 views

Cortical Learning via Prediction
Aug 20, 2015
·
2500 views
Optimization I

Adaptive recovery of signals by convex optimization
Aug 20, 2015
·
1662 views

Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposit...
Aug 20, 2015
·
3529 views

Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity
Aug 20, 2015
·
1536 views

Competing with the Empirical Risk Minimizer in a Single Pass
Aug 20, 2015
·
2076 views

On the Complexity of Learning with Kernels
Aug 20, 2015
·
1835 views
On-Line Learning & Bandits I

Hierarchies of Relaxations for Online Prediction Problems with Evolving Constrai...
Aug 20, 2015
·
1732 views

Online Density Estimation of Bradley-Terry Models
Aug 20, 2015
·
1646 views

Batched Bandit Problems
Aug 20, 2015
·
1738 views

Bandit Convex Optimization: sqrt{T} Regret in One Dimension
Aug 20, 2015
·
1801 views

Second-order Quantile Methods for Experts and Combinatorial Games
Aug 20, 2015
·
1811 views

Achieving All with No Parameters: Adaptive NormalHedge
Aug 20, 2015
·
3098 views

On the Complexity of Bandit Linear Optimization
Aug 20, 2015
·
1730 views

On-Line Learning Algorithms for Path Experts with Non-Additive Losses
Aug 20, 2015
·
2148 views

From Averaging to Acceleration, There is Only a Step-size
Aug 20, 2015
·
1893 views
Classification

Hierarchical label queries with data-dependent partitions
Aug 20, 2015
·
1698 views

Learning and inference in the presence of corrupted inputs
Aug 20, 2015
·
1904 views

An Efficient Graph Based Active Learning Algorithm with Application to Nonparame...
Aug 20, 2015
·
1588 views

Optimally Combining Classifiers Using Unlabeled Data
Aug 20, 2015
·
1692 views

Beyond Hartigan Consistency: Merge Distortion Metric for Hierarchical Clustering
Aug 20, 2015
·
1681 views

MCMC Learning
Aug 20, 2015
·
2060 views

Convex Risk Minimization and Conditional Probability Estimation
Sep 9, 2015
·
2553 views

Efficient Learning of Linear Separators under Bounded Noise
Aug 20, 2015
·
1919 views

A PTAS for Agnostically Learning Halfspaces
Aug 20, 2015
·
1578 views
Unsupervised Learning

Tensor principal component analysis
Aug 20, 2015
·
1634 views

Analyzing Non-Convex Optimization for Sparse Coding
Aug 20, 2015
·
2512 views

Stochastic Block Model and Community Detection in the Sparse Graphs: A spectral ...
Aug 20, 2015
·
1677 views

Online PCA with Spectral Bounds
Aug 20, 2015
·
2267 views

Correlation Clustering with Noisy Partial Information
Aug 20, 2015
·
1351 views

Partitioning Well-Clustered Graphs: Spectral Clustering Works!
Aug 20, 2015
·
1633 views

Norm-Based Capacity Control in Neural Networks
Aug 20, 2015
·
1930 views
Optimization, Online Learning, Loss Functions

Exp-Concavity of Proper Composite Losses
Aug 20, 2015
·
1593 views

Label optimal regret bounds for online local learning
Aug 20, 2015
·
2423 views

On Consistent Surrogate Risk Minimization and Property Elicitation
Aug 20, 2015
·
2200 views

Low Rank Matrix Completion with Exponential Family Noise
Aug 20, 2015
·
1906 views

Escaping the Local Minima via Simulated Annealing: Optimization of Approximately...
Aug 20, 2015
·
1907 views

Improved Sum-of-Squares Lower Bounds for Hidden Clique and Hidden Submatrix Prob...
Aug 20, 2015
·
1650 views

Generalized Mixability via Entropic Duality
Aug 20, 2015
·
1692 views

Sequential Information Maximization: When is Greedy Near-optimal?
Aug 20, 2015
·
1984 views

The entropic barrier: a simple and optimal universal self-concordant barrier
Aug 20, 2015
·
2691 views

Fast Exact Matrix Completion with Finite Samples
Aug 20, 2015
·
1738 views

Vector-Valued Property Elicitation
Aug 20, 2015
·
1783 views
Estimation, Generative Models

On Learning Distributions from their Samples
Aug 20, 2015
·
1945 views

Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification
Aug 20, 2015
·
1889 views

Optimum Statistical Estimation with Strategic Data Sources
Aug 20, 2015
·
1804 views

Learning Overcomplete Latent Variable Models through Tensor Methods
Aug 20, 2015
·
3754 views

Learning the dependence structure of rare events: a non-asymptotic study
Aug 20, 2015
·
1829 views
On-Line Learning & Bandits II

Minimax Fixed-Design Linear Regression
Aug 20, 2015
·
1991 views

Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem
Aug 20, 2015
·
1621 views

A Chaining Algorithm for Online Nonparametric Regression
Aug 20, 2015
·
1849 views

Online Learning with Feedback Graphs: Beyond Bandits
Aug 20, 2015
·
1874 views

Contextual Dueling Bandits
Aug 20, 2015
·
1912 views

First-order regret bounds for combinatorial semi-bandits
Aug 20, 2015
·
1709 views
Open Problems Session

The landscape of the loss surfaces of multilayer networks
Aug 20, 2015
·
7485 views

Recursive Teaching Dimension Versus VC Dimension
Aug 20, 2015
·
1974 views

The oracle Complexity of Smooth Convex Optimization in Nonstandard Settings
Aug 20, 2015
·
1584 views

Online Sabotaged Shortest Path
Aug 20, 2015
·
1819 views

Learning Quantum Circuits with Queries
Aug 20, 2015
·
1468 views

Restricted Eigen Condition for Heavy Tailed Designs
Aug 20, 2015
·
1645 views
Probabilistic Models and Reinforcement Learning

Thompson Sampling for Learning Parameterized Markov Decision Processes
Aug 20, 2015
·
1729 views

Bad Universal Priors and Notions of Optimality
Aug 20, 2015
·
1548 views

Faster Algorithms for Testing under Conditional Sampling
Aug 20, 2015
·
1943 views

On Convergence of Emphatic Temporal-Difference Learning
Aug 20, 2015
·
2161 views

Interactive Fingerprinting Codes and the Hardness of Preventing False Discovery
Sep 17, 2015
·
1594 views

Fast Mixing for Discrete Point Processes
Aug 20, 2015
·
1959 views

Computational Lower Bounds for Community Detection on Random Graphs
Aug 20, 2015
·
1672 views
Regression

Minimax rates for memory-bounded sparse linear regression
Aug 20, 2015
·
2304 views

Learning with Square Loss: Localization through Offset Rademacher Complexity
Aug 20, 2015
·
2107 views

Algorithms for Lipschitz Learning on Graphs
Aug 20, 2015
·
2959 views

Truthful Linear Regression
Aug 20, 2015
·
3295 views

Regularized Linear Regression: A Precise Analysis of the Estimation Error
Aug 20, 2015
·
2431 views

Variable Selection is Hard
Aug 20, 2015
·
1881 views