28th Annual Conference on Learning Theory (COLT), Paris 2015
76 Lectures · Jul 2, 2015
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.
Related categories
Uploaded videos:
Invited Talks
Applications of Learning Theory in Algorithmic Game Theory
Aug 20, 2015
·
4342 Views
Laplacian Matrices of Graphs: Algorithms and Applications
Aug 20, 2015
·
4448 Views
Synthetic theory of Ricci curvature - when information theory, optimization, geo...
Aug 20, 2015
·
3866 Views
Computational Learning
An Almost Optimal PAC Algorithm
Aug 20, 2015
·
2218 Views
Cortical Learning via Prediction
Aug 20, 2015
·
2495 Views
Optimization I
On the Complexity of Learning with Kernels
Aug 20, 2015
·
1832 Views
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposit...
Aug 20, 2015
·
3525 Views
Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity
Aug 20, 2015
·
1533 Views
Adaptive recovery of signals by convex optimization
Aug 20, 2015
·
1656 Views
Competing with the Empirical Risk Minimizer in a Single Pass
Aug 20, 2015
·
2071 Views
On-Line Learning & Bandits I
From Averaging to Acceleration, There is Only a Step-size
Aug 20, 2015
·
1874 Views
Achieving All with No Parameters: Adaptive NormalHedge
Aug 20, 2015
·
3092 Views
On-Line Learning Algorithms for Path Experts with Non-Additive Losses
Aug 20, 2015
·
2139 Views
Second-order Quantile Methods for Experts and Combinatorial Games
Aug 20, 2015
·
1801 Views
Online Density Estimation of Bradley-Terry Models
Aug 20, 2015
·
1643 Views
Hierarchies of Relaxations for Online Prediction Problems with Evolving Constrai...
Aug 20, 2015
·
1725 Views
On the Complexity of Bandit Linear Optimization
Aug 20, 2015
·
1726 Views
Bandit Convex Optimization: sqrt{T} Regret in One Dimension
Aug 20, 2015
·
1787 Views
Batched Bandit Problems
Aug 20, 2015
·
1733 Views
Classification
MCMC Learning
Aug 20, 2015
·
2055 Views
Learning and inference in the presence of corrupted inputs
Aug 20, 2015
·
1899 Views
A PTAS for Agnostically Learning Halfspaces
Aug 20, 2015
·
1575 Views
Convex Risk Minimization and Conditional Probability Estimation
Sep 09, 2015
·
2541 Views
Efficient Learning of Linear Separators under Bounded Noise
Aug 20, 2015
·
1911 Views
Optimally Combining Classifiers Using Unlabeled Data
Aug 20, 2015
·
1690 Views
An Efficient Graph Based Active Learning Algorithm with Application to Nonparame...
Aug 20, 2015
·
1580 Views
Hierarchical label queries with data-dependent partitions
Aug 20, 2015
·
1695 Views
Beyond Hartigan Consistency: Merge Distortion Metric for Hierarchical Clustering
Aug 20, 2015
·
1678 Views
Unsupervised Learning
Analyzing Non-Convex Optimization for Sparse Coding
Aug 20, 2015
·
2508 Views
Tensor principal component analysis
Aug 20, 2015
·
1628 Views
Partitioning Well-Clustered Graphs: Spectral Clustering Works!
Aug 20, 2015
·
1630 Views
Online PCA with Spectral Bounds
Aug 20, 2015
·
2261 Views
Correlation Clustering with Noisy Partial Information
Aug 20, 2015
·
1347 Views
Norm-Based Capacity Control in Neural Networks
Aug 20, 2015
·
1926 Views
Stochastic Block Model and Community Detection in the Sparse Graphs: A spectral ...
Aug 20, 2015
·
1676 Views
Optimization, Online Learning, Loss Functions
The entropic barrier: a simple and optimal universal self-concordant barrier
Aug 20, 2015
·
2676 Views
Escaping the Local Minima via Simulated Annealing: Optimization of Approximately...
Aug 20, 2015
·
1903 Views
Improved Sum-of-Squares Lower Bounds for Hidden Clique and Hidden Submatrix Prob...
Aug 20, 2015
·
1644 Views
Sequential Information Maximization: When is Greedy Near-optimal?
Aug 20, 2015
·
1975 Views
Low Rank Matrix Completion with Exponential Family Noise
Aug 20, 2015
·
1904 Views
Fast Exact Matrix Completion with Finite Samples
Aug 20, 2015
·
1735 Views
Exp-Concavity of Proper Composite Losses
Aug 20, 2015
·
1590 Views
Vector-Valued Property Elicitation
Aug 20, 2015
·
1774 Views
Generalized Mixability via Entropic Duality
Aug 20, 2015
·
1689 Views
On Consistent Surrogate Risk Minimization and Property Elicitation
Aug 20, 2015
·
2197 Views
Label optimal regret bounds for online local learning
Aug 20, 2015
·
2418 Views
Estimation, Generative Models
Learning the dependence structure of rare events: a non-asymptotic study
Aug 20, 2015
·
1826 Views
On Learning Distributions from their Samples
Aug 20, 2015
·
1942 Views
Optimum Statistical Estimation with Strategic Data Sources
Aug 20, 2015
·
1800 Views
Learning Overcomplete Latent Variable Models through Tensor Methods
Aug 20, 2015
·
3753 Views
Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification
Aug 20, 2015
·
1885 Views
On-Line Learning & Bandits II
Minimax Fixed-Design Linear Regression
Aug 20, 2015
·
1981 Views
A Chaining Algorithm for Online Nonparametric Regression
Aug 20, 2015
·
1833 Views
First-order regret bounds for combinatorial semi-bandits
Aug 20, 2015
·
1705 Views
Online Learning with Feedback Graphs: Beyond Bandits
Aug 20, 2015
·
1851 Views
Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem
Aug 20, 2015
·
1618 Views
Contextual Dueling Bandits
Aug 20, 2015
·
1905 Views
Open Problems Session
Restricted Eigen Condition for Heavy Tailed Designs
Aug 20, 2015
·
1640 Views
The landscape of the loss surfaces of multilayer networks
Aug 20, 2015
·
7472 Views
The oracle Complexity of Smooth Convex Optimization in Nonstandard Settings
Aug 20, 2015
·
1579 Views
Online Sabotaged Shortest Path
Aug 20, 2015
·
1814 Views
Learning Quantum Circuits with Queries
Aug 20, 2015
·
1464 Views
Recursive Teaching Dimension Versus VC Dimension
Aug 20, 2015
·
1967 Views
Probabilistic Models and Reinforcement Learning
Computational Lower Bounds for Community Detection on Random Graphs
Aug 20, 2015
·
1669 Views
Bad Universal Priors and Notions of Optimality
Aug 20, 2015
·
1544 Views
Thompson Sampling for Learning Parameterized Markov Decision Processes
Aug 20, 2015
·
1726 Views
Fast Mixing for Discrete Point Processes
Aug 20, 2015
·
1953 Views
On Convergence of Emphatic Temporal-Difference Learning
Aug 20, 2015
·
2150 Views
Faster Algorithms for Testing under Conditional Sampling
Aug 20, 2015
·
1940 Views
Interactive Fingerprinting Codes and the Hardness of Preventing False Discovery
Sep 17, 2015
·
1584 Views
Regression
Learning with Square Loss: Localization through Offset Rademacher Complexity
Aug 20, 2015
·
2059 Views
Minimax rates for memory-bounded sparse linear regression
Aug 20, 2015
·
2295 Views
Algorithms for Lipschitz Learning on Graphs
Aug 20, 2015
·
2949 Views
Variable Selection is Hard
Aug 20, 2015
·
1877 Views
Regularized Linear Regression: A Precise Analysis of the Estimation Error
Aug 20, 2015
·
2417 Views
Truthful Linear Regression
Aug 20, 2015
·
3292 Views