Dec 9, 2013 
113 videos 
NIPS Workshops, Lake Tahoe 2013
The Post-Conference Workshop Program covered a wide range of topics from Neuroscience to Machine Learning.
Detailed information can be found at NIPS 2013 Workshops homepage.
Crowdsourcing: Theory, Algorithms and Applications
Social Status and the Design of Optimal Badges
Oct 6, 2014 1777 views
Adaptive Contract Design for Crowdsourcing
Oct 6, 2014 1901 views
Matching Workers Expertise with Tasks: Incentives in Heterogeneous
Oct 6, 2014 2039 views
Algorithmic Crowdsourcing
Oct 6, 2014 1770 views
Collaborative Decision Making
Oct 6, 2014 1665 views
Crowdsourcing knowledge, one billion facts at a time
Oct 6, 2014 2304 views
Incentive Design for Crowdsourcing: A Game-Theoretic Approach
Oct 6, 2014 1828 views
Crowd-Powered Systems
Oct 6, 2014 1978 views
Deep Learning
Two architectures for one-shot learning
Oct 6, 2014 3501 views
New insights on parameter estimation
Oct 6, 2014 3334 views
A PAC-Bayesian Analysis of Dropouts
Oct 6, 2014 2114 views
Playing Atari with Deep Reinforcement Learning
Oct 6, 2014 5147 views
Discrete Optimization in Machine Learning: Connecting Theory and Practice
Balancing the Explore/Exploit Tradeoff in Interactive Structured Prediction
Oct 6, 2014 2712 views
MAD-Bayes: MAP-based Asymptotic Derivations from Bayes
Oct 6, 2014 3088 views
Summarizing Big Data: A Practical Use for Submodular Functions
Oct 6, 2014 1857 views
Tutorial on Discrete Convex Analysis: Basics, DC Programming, and Submodular Wel...
Oct 6, 2014 1998 views
Large Scale Matrix Analysis and Inference
Large-scale matrix operations using a data-flow engine
Oct 6, 2014 1726 views
Sketching as a Tool for Numerical Linear Algebra
Oct 6, 2014 2022 views
Large Scale Matrix Analysis and Inference
Oct 6, 2014 1748 views
Primal-Dual Graph Algorithms for MapReduce
Oct 6, 2014 1687 views
Learning with Matrix Parameters
Oct 6, 2014 1750 views
Efficiently implementing sparsity in learning
Oct 6, 2014 1798 views
Near-Optimal Algorithms for Online Matrix Prediction
Oct 6, 2014 1897 views
Spectral sparsification of graphs: an overview of theory and practical methods
Oct 6, 2014 1639 views
Large scale matrix algorithms and matrix completion
Oct 6, 2014 1988 views
MLINI-13: Machine Learning and Interpretation in Neuroimaging
When brain and behavior disagree: A novel ML approach for handling systematic la...
Oct 6, 2014 1643 views
Dissimilarity Representation for Unsupervised and Supervised Tract Segmentation
Oct 6, 2014 1596 views
Sparse Modeling in fMRI Analysis
Oct 6, 2014 1772 views
The geometry of high-level visual representations
Oct 6, 2014 1693 views
Building common, high-dimensional models of neural representational spaces using...
Oct 6, 2014 1849 views
Resting state functional connectivity: perils and promises
Oct 6, 2014 1687 views
Predicting Short-Term Cognitive Change from Longitudinal Neuroimaging Analysis
Oct 6, 2014 1921 views
Learning to Classify Psychiatric Disorders based on fMR Images: Autism vs Health...
Oct 6, 2014 1925 views
Speech-based Psychiatric Evaluation
Oct 6, 2014 1586 views
Hyperalignment of Multi-Subject fMRI Data by Synchronized Projections
Oct 6, 2014 1675 views
An oblique approach to prediction of conversion to Alzheimer's Disease with mult...
Oct 6, 2014 1739 views
Modern Nonparametric Methods in Machine Learning
Analysis of the copula correlation matrix for meta-elliptical distributions
Oct 6, 2014 2125 views
Nonparametric Active Learning
Oct 6, 2014 2214 views
Kernel means and shrinkage
Oct 6, 2014 2636 views
The Hidden Convexity of Spectral Clustering
Oct 6, 2014 1945 views
Regularization and Computations: Early stopping for Online Learning
Oct 6, 2014 1713 views
Surprising phenomena in inference for iid p dimensional data for 0<p/n<1 and for...
Oct 6, 2014 1759 views
Laplace operators and regularization Fast algorithms for translation invariant a...
Oct 6, 2014 2851 views
NIPS 2013 Workshop on Causality: Large-scale Experiment Design and Inference of Causal Mechanisms
Results and analysis of the 2013 ChaLearn cause-effect pair challenge
Oct 6, 2014 3007 views
Experiment Design in Static Models of Dynamic Biological Systems
Oct 6, 2014 1848 views
Automated Feature Engineering Applied to Causality
Oct 6, 2014 2395 views
Why Am I Stuck? Token-Level Causal Reasoning for AI and Robotics
Oct 6, 2014 1666 views
Clinical trials with non-adherence and unblinding: a graphical perspective
Oct 6, 2014 1833 views
Codalab - A new service for data exchange, code execution, benchmarks and reprod...
Oct 6, 2014 1828 views
Distinguishing between cause and effect: estimation of causal graphs with two va...
Oct 6, 2014 2000 views
Causal Transportability with Limited Experiments
Oct 6, 2014 1808 views
Learning Causal Structure from Undersampled Time Series
Oct 6, 2014 1779 views
Summary of the challenge results and award distribution
Oct 6, 2014 2755 views
Historical perspective in causal structure learning from observational and exper...
Oct 6, 2014 1558 views
Conditional distribution variability measures for causality detection
Oct 6, 2014 1807 views
Path Constraints for Causal Discovery
Oct 6, 2014 1676 views
A Review of Partially Observable Markov Decision Processes for Causal Modeling
Oct 6, 2014 2051 views
Bayesian experimental design
Oct 6, 2014 1903 views
Causal inferences from complex observational and randomized studies with time-va...
Oct 6, 2014 1649 views
Output Representation Learning
GSNs: Avoiding the Intractability of Marginalization by Learning the Transition ...
Oct 6, 2014 2052 views
Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling
Oct 6, 2014 1664 views
Learning with Marginalized Corruption
Oct 6, 2014 1657 views
DeViSE: A Deep Visual-Semantic Embedding Model
Oct 6, 2014 2934 views
On the Design of Output Representations in Deep Networks for Speech Recognition
Oct 6, 2014 1675 views
Predicting Dialogue Outcomes over Structured Latent Representations
Oct 6, 2014 1451 views
Latent Structured Ranking
Oct 6, 2014 1662 views
Amortized Integer Linear Programming Inference
Oct 6, 2014 1765 views
Data Driven Education
What I've Learned about Learning
Oct 6, 2014 1740 views
Discovering and removing barriers to learning
Oct 6, 2014 1571 views
Creating Infinitely Adaptable Courseware
Oct 6, 2014 1626 views
Personalized Learning and Temporal Modeling at Khan Academy
Oct 6, 2014 1935 views
Opportunities and Challenges for Education Research on Coursera
Oct 6, 2014 1811 views
Demographics and learner behavior in MITx and HarvardX MOOCs
Oct 6, 2014 1570 views
Knowledge Extraction from Text (KET)
Structured Learning for Mapping Natural Language to Spatial Calculi Models
Oct 6, 2014 1619 views
Never-Ending Language Learning (NELL)
Oct 6, 2014 1851 views
Quick over of Machine Reading Approaches
Oct 6, 2014 1539 views
What should be extracted from text
Oct 6, 2014 1551 views
The Wisdom of the Crowds to Assist Never Ending Learning Tasks through Conversin...
Oct 6, 2014 1544 views
Semantic Construction Grammars
Oct 6, 2014 1697 views
Knowledge Extraction from Archaeological Texts
Oct 6, 2014 1675 views
Knowledge Extraction From Business Texts
Oct 6, 2014 1710 views
Information Retrieval from Clinical Reports
Oct 6, 2014 2410 views
Learning Faster From Easy Data
Follow the leader if you can, Hedge if you must
Oct 6, 2014 2007 views
Optimistic Rates
Oct 6, 2014 1745 views
Localization and Adaptation in Online Learning Through Relaxations
Oct 6, 2014 1620 views
Fast rates for the multi-armed bandit
Oct 6, 2014 2274 views
Selective sampling algorithms for cost-sensitive multiclass prediction
Oct 6, 2014 1824 views
Machine Learning for Sustainability
Network Design Problems in Landscape Connectivity Conservation
Oct 6, 2014 1583 views
SMART-ISO: High-Dimensional Stochastic Optimization for Renewables Integration
Oct 6, 2014 1517 views
Computational Sustainability
Oct 6, 2014 1522 views
Adaptive management across time and space
Oct 6, 2014 1430 views
BirdCast: Novel Machine Learning Methods for Understanding Continent-Scale Bird ...
Oct 6, 2014 1596 views
Large-scale Probabilistic Energy Forecasting
Oct 6, 2014 1482 views
Machine Learning in Computational Biology
Identifying Perturbed Genes in the Regulatory Networks from Gene Expression Data
Oct 6, 2014 1652 views
Multi-trait genomic selection via multivariate regression with structured regula...
Oct 6, 2014 1426 views
Multi-view multi-task learning for drug sensitivity prediction
Oct 6, 2014 1954 views
Genetic variation in gene regulation
Oct 6, 2014 1459 views
A Poisson-multivariate normal hierarchical model for measuring microbial conditi...
Oct 6, 2014 1530 views
Kernel bilinear regression for toxicogenetics
Oct 6, 2014 1747 views
A convolutional model of RNA-binding proteins
Oct 6, 2014 1770 views
Sparse Estimation of Module Gaussian Graphical Models with Applications to Cance...
Oct 6, 2014 1904 views
Epigenome-Wide Association Studies Without the Need for Cell-Type Composition
Oct 6, 2014 1733 views
Multisource transfer learning for host-pathogen protein interaction prediction i...
Oct 6, 2014 1594 views
New Directions in Transfer and Multi-Task: Learning Across Domains and Tasks
An Overview of Transfer Learning
Oct 6, 2014 3232 views
Learning kernels for visual domain adaptation
Oct 6, 2014 2037 views
Nonparametric Bayesian inference using kernel distribution embeddings
Oct 6, 2014 2087 views
Sparse Coding for Multi-task and Transfer Learning
Oct 6, 2014 2144 views
Understanding Domain Adaptation Learning - the good and the not so good
Oct 6, 2014 2484 views
Workshop on Spectral Learning
Discovering Hidden Variables in Noisy-Or Networks
Oct 6, 2014 1743 views
Clustering Data: Does Theory Help?
Oct 6, 2014 1732 views
Weighted Spectral Learning and the Efficiency Sharpening Algorithm
Oct 6, 2014 1623 views
Nonparametric Latent Variable Models via Kernel Embedding of Distributions
Oct 6, 2014 2149 views
Partial Information from Spectral Methods
Oct 6, 2014 1967 views