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 3928 views
Laplacian Matrices of Graphs: Algorithms and Applications
Aug 20, 2015 4487 views
Applications of Learning Theory in Algorithmic Game Theory
Aug 20, 2015 4394 views
Computational Learning
An Almost Optimal PAC Algorithm
Aug 20, 2015 2267 views
Cortical Learning via Prediction
Aug 20, 2015 2530 views
Optimization I
Adaptive recovery of signals by convex optimization
Aug 20, 2015 1682 views
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposit...
Aug 20, 2015 3554 views
Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity
Aug 20, 2015 1548 views
Competing with the Empirical Risk Minimizer in a Single Pass
Aug 20, 2015 2095 views
On the Complexity of Learning with Kernels
Aug 20, 2015 1855 views
On-Line Learning & Bandits I
Hierarchies of Relaxations for Online Prediction Problems with Evolving Constrai...
Aug 20, 2015 1748 views
Online Density Estimation of Bradley-Terry Models
Aug 20, 2015 1660 views
Batched Bandit Problems
Aug 20, 2015 1754 views
Bandit Convex Optimization: sqrt{T} Regret in One Dimension
Aug 20, 2015 1823 views
Second-order Quantile Methods for Experts and Combinatorial Games
Aug 20, 2015 1832 views
Achieving All with No Parameters: Adaptive NormalHedge
Aug 20, 2015 3122 views
On the Complexity of Bandit Linear Optimization
Aug 20, 2015 1753 views
On-Line Learning Algorithms for Path Experts with Non-Additive Losses
Aug 20, 2015 2168 views
From Averaging to Acceleration, There is Only a Step-size
Aug 20, 2015 1921 views
Classification
Hierarchical label queries with data-dependent partitions
Aug 20, 2015 1721 views
Learning and inference in the presence of corrupted inputs
Aug 20, 2015 1917 views
An Efficient Graph Based Active Learning Algorithm with Application to Nonparame...
Aug 20, 2015 1611 views
Optimally Combining Classifiers Using Unlabeled Data
Aug 20, 2015 1704 views
Beyond Hartigan Consistency: Merge Distortion Metric for Hierarchical Clustering
Aug 20, 2015 1704 views
MCMC Learning
Aug 20, 2015 2080 views
Convex Risk Minimization and Conditional Probability Estimation
Sep 9, 2015 2602 views
Efficient Learning of Linear Separators under Bounded Noise
Aug 20, 2015 1935 views
A PTAS for Agnostically Learning Halfspaces
Aug 20, 2015 1596 views
Unsupervised Learning
Tensor principal component analysis
Aug 20, 2015 1659 views
Analyzing Non-Convex Optimization for Sparse Coding
Aug 20, 2015 2532 views
Stochastic Block Model and Community Detection in the Sparse Graphs: A spectral ...
Aug 20, 2015 1701 views
Online PCA with Spectral Bounds
Aug 20, 2015 2297 views
Correlation Clustering with Noisy Partial Information
Aug 20, 2015 1370 views
Partitioning Well-Clustered Graphs: Spectral Clustering Works!
Aug 20, 2015 1651 views
Norm-Based Capacity Control in Neural Networks
Aug 20, 2015 1946 views
Optimization, Online Learning, Loss Functions
Exp-Concavity of Proper Composite Losses
Aug 20, 2015 1612 views
Label optimal regret bounds for online local learning
Aug 20, 2015 2449 views
On Consistent Surrogate Risk Minimization and Property Elicitation
Aug 20, 2015 2221 views
Low Rank Matrix Completion with Exponential Family Noise
Aug 20, 2015 1925 views
Escaping the Local Minima via Simulated Annealing: Optimization of Approximately...
Aug 20, 2015 1928 views
Improved Sum-of-Squares Lower Bounds for Hidden Clique and Hidden Submatrix Prob...
Aug 20, 2015 1666 views
Generalized Mixability via Entropic Duality
Aug 20, 2015 1711 views
Sequential Information Maximization: When is Greedy Near-optimal?
Aug 20, 2015 2006 views
The entropic barrier: a simple and optimal universal self-concordant barrier
Aug 20, 2015 3167 views
Fast Exact Matrix Completion with Finite Samples
Aug 20, 2015 1758 views
Vector-Valued Property Elicitation
Aug 20, 2015 1809 views
Estimation, Generative Models
On Learning Distributions from their Samples
Aug 20, 2015 1961 views
Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification
Aug 20, 2015 1908 views
Optimum Statistical Estimation with Strategic Data Sources
Aug 20, 2015 1820 views
Learning Overcomplete Latent Variable Models through Tensor Methods
Aug 20, 2015 3778 views
Learning the dependence structure of rare events: a non-asymptotic study
Aug 20, 2015 1844 views
On-Line Learning & Bandits II
Minimax Fixed-Design Linear Regression
Aug 20, 2015 2012 views
Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem
Aug 20, 2015 1637 views
A Chaining Algorithm for Online Nonparametric Regression
Aug 20, 2015 1881 views
Online Learning with Feedback Graphs: Beyond Bandits
Aug 20, 2015 1890 views
Contextual Dueling Bandits
Aug 20, 2015 1933 views
First-order regret bounds for combinatorial semi-bandits
Aug 20, 2015 1731 views
Open Problems Session
The landscape of the loss surfaces of multilayer networks
Aug 20, 2015 7522 views
Recursive Teaching Dimension Versus VC Dimension
Aug 20, 2015 1995 views
The oracle Complexity of Smooth Convex Optimization in Nonstandard Settings
Aug 20, 2015 1607 views
Online Sabotaged Shortest Path
Aug 20, 2015 1833 views
Learning Quantum Circuits with Queries
Aug 20, 2015 1482 views
Restricted Eigen Condition for Heavy Tailed Designs
Aug 20, 2015 1659 views
Probabilistic Models and Reinforcement Learning
Thompson Sampling for Learning Parameterized Markov Decision Processes
Aug 20, 2015 1763 views
Bad Universal Priors and Notions of Optimality
Aug 20, 2015 1569 views
Faster Algorithms for Testing under Conditional Sampling
Aug 20, 2015 1958 views
On Convergence of Emphatic Temporal-Difference Learning
Aug 20, 2015 2174 views
Interactive Fingerprinting Codes and the Hardness of Preventing False Discovery
Sep 17, 2015 1637 views
Fast Mixing for Discrete Point Processes
Aug 20, 2015 1992 views
Computational Lower Bounds for Community Detection on Random Graphs
Aug 20, 2015 1686 views
Regression
Minimax rates for memory-bounded sparse linear regression
Aug 20, 2015 2341 views
Learning with Square Loss: Localization through Offset Rademacher Complexity
Aug 20, 2015 2125 views
Algorithms for Lipschitz Learning on Graphs
Aug 20, 2015 3001 views
Truthful Linear Regression
Aug 20, 2015 3311 views
Regularized Linear Regression: A Precise Analysis of the Estimation Error
Aug 20, 2015 2463 views
Variable Selection is Hard
Aug 20, 2015 1910 views
