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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.
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Uploaded videos:
Crowdsourcing: Theory, Algorithms and Applications
Crowd-Powered Systems
Oct 06, 2014
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1951 Views
Crowdsourcing knowledge, one billion facts at a time
Oct 06, 2014
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2281 Views
Collaborative Decision Making
Oct 06, 2014
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1648 Views
Incentive Design for Crowdsourcing: A Game-Theoretic Approach
Oct 06, 2014
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1806 Views
Algorithmic Crowdsourcing
Oct 06, 2014
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1735 Views
Matching Workers Expertise with Tasks: Incentives in Heterogeneous
Oct 06, 2014
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1993 Views
Social Status and the Design of Optimal Badges
Oct 06, 2014
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1743 Views
Adaptive Contract Design for Crowdsourcing
Oct 06, 2014
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1863 Views
Deep Learning
New insights on parameter estimation
Oct 06, 2014
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3303 Views
A PAC-Bayesian Analysis of Dropouts
Oct 06, 2014
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2092 Views
Two architectures for one-shot learning
Oct 06, 2014
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3465 Views
Playing Atari with Deep Reinforcement Learning
Oct 06, 2014
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5084 Views
Discrete Optimization in Machine Learning: Connecting Theory and Practice
Tutorial on Discrete Convex Analysis: Basics, DC Programming, and Submodular Wel...
Oct 06, 2014
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1946 Views
Balancing the Explore/Exploit Tradeoff in Interactive Structured Prediction
Oct 06, 2014
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2684 Views
Summarizing Big Data: A Practical Use for Submodular Functions
Oct 06, 2014
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1830 Views
MAD-Bayes: MAP-based Asymptotic Derivations from Bayes
Oct 06, 2014
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3050 Views
Large Scale Matrix Analysis and Inference
Learning with Matrix Parameters
Oct 06, 2014
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1713 Views
Near-Optimal Algorithms for Online Matrix Prediction
Oct 06, 2014
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1881 Views
Large scale matrix algorithms and matrix completion
Oct 06, 2014
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1975 Views
Sketching as a Tool for Numerical Linear Algebra
Oct 06, 2014
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1995 Views
Spectral sparsification of graphs: an overview of theory and practical methods
Oct 06, 2014
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1623 Views
Efficiently implementing sparsity in learning
Oct 06, 2014
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1773 Views
Primal-Dual Graph Algorithms for MapReduce
Oct 06, 2014
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1663 Views
Large-scale matrix operations using a data-flow engine
Oct 06, 2014
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1706 Views
Large Scale Matrix Analysis and Inference
Oct 06, 2014
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1728 Views
MLINI-13: Machine Learning and Interpretation in Neuroimaging
Dissimilarity Representation for Unsupervised and Supervised Tract Segmentation
Oct 06, 2014
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1582 Views
Building common, high-dimensional models of neural representational spaces using...
Oct 06, 2014
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1828 Views
The geometry of high-level visual representations
Oct 06, 2014
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1676 Views
Resting state functional connectivity: perils and promises
Oct 06, 2014
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1672 Views
Predicting Short-Term Cognitive Change from Longitudinal Neuroimaging Analysis
Oct 06, 2014
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1905 Views
Hyperalignment of Multi-Subject fMRI Data by Synchronized Projections
Oct 06, 2014
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1659 Views
An oblique approach to prediction of conversion to Alzheimer's Disease with mult...
Oct 06, 2014
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1713 Views
Sparse Modeling in fMRI Analysis
Oct 06, 2014
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1749 Views
Learning to Classify Psychiatric Disorders based on fMR Images: Autism vs Health...
Oct 06, 2014
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1904 Views
When brain and behavior disagree: A novel ML approach for handling systematic la...
Oct 06, 2014
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1622 Views
Speech-based Psychiatric Evaluation
Oct 06, 2014
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1564 Views
Modern Nonparametric Methods in Machine Learning
Kernel means and shrinkage
Oct 06, 2014
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2605 Views
Laplace operators and regularization Fast algorithms for translation invariant a...
Oct 06, 2014
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2833 Views
The Hidden Convexity of Spectral Clustering
Oct 06, 2014
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1912 Views
Regularization and Computations: Early stopping for Online Learning
Oct 06, 2014
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1694 Views
Surprising phenomena in inference for iid p dimensional data for 0<p/n<1 and for...
Oct 06, 2014
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1727 Views
Nonparametric Active Learning
Oct 06, 2014
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2196 Views
Analysis of the copula correlation matrix for meta-elliptical distributions
Oct 06, 2014
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2104 Views
NIPS 2013 Workshop on Causality: Large-scale Experiment Design and Inference of Causal Mechanisms
Distinguishing between cause and effect: estimation of causal graphs with two va...
Oct 06, 2014
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1978 Views
Causal inferences from complex observational and randomized studies with time-va...
Oct 06, 2014
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1622 Views
Historical perspective in causal structure learning from observational and exper...
Oct 06, 2014
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1540 Views
Path Constraints for Causal Discovery
Oct 06, 2014
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1660 Views
Causal Transportability with Limited Experiments
Oct 06, 2014
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1773 Views
Learning Causal Structure from Undersampled Time Series
Oct 06, 2014
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1755 Views
Experiment Design in Static Models of Dynamic Biological Systems
Oct 06, 2014
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1821 Views
Results and analysis of the 2013 ChaLearn cause-effect pair challenge
Oct 06, 2014
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2980 Views
Automated Feature Engineering Applied to Causality
Oct 06, 2014
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2372 Views
Conditional distribution variability measures for causality detection
Oct 06, 2014
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1779 Views
Codalab - A new service for data exchange, code execution, benchmarks and reprod...
Oct 06, 2014
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1798 Views
Clinical trials with non-adherence and unblinding: a graphical perspective
Oct 06, 2014
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1804 Views
A Review of Partially Observable Markov Decision Processes for Causal Modeling
Oct 06, 2014
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2029 Views
Why Am I Stuck? Token-Level Causal Reasoning for AI and Robotics
Oct 06, 2014
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1646 Views
Bayesian experimental design
Oct 06, 2014
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1882 Views
Summary of the challenge results and award distribution
Oct 06, 2014
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2735 Views
Output Representation Learning
Amortized Integer Linear Programming Inference
Oct 06, 2014
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1742 Views
Latent Structured Ranking
Oct 06, 2014
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1639 Views
GSNs: Avoiding the Intractability of Marginalization by Learning the Transition ...
Oct 06, 2014
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1933 Views
On the Design of Output Representations in Deep Networks for Speech Recognition
Oct 06, 2014
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1650 Views
Learning with Marginalized Corruption
Oct 06, 2014
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1639 Views
DeViSE: A Deep Visual-Semantic Embedding Model
Oct 06, 2014
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2900 Views
Predicting Dialogue Outcomes over Structured Latent Representations
Oct 06, 2014
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1436 Views
Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling
Oct 06, 2014
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1638 Views
Data Driven Education
Discovering and removing barriers to learning
Oct 06, 2014
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1548 Views
Demographics and learner behavior in MITx and HarvardX MOOCs
Oct 06, 2014
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1554 Views
Personalized Learning and Temporal Modeling at Khan Academy
Oct 06, 2014
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1899 Views
Creating Infinitely Adaptable Courseware
Oct 06, 2014
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1610 Views
What I've Learned about Learning
Oct 06, 2014
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1718 Views
Opportunities and Challenges for Education Research on Coursera
Oct 06, 2014
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1788 Views
Knowledge Extraction from Text (KET)
Quick over of Machine Reading Approaches
Oct 06, 2014
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1519 Views
Never-Ending Language Learning (NELL)
Oct 06, 2014
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1828 Views
What should be extracted from text
Oct 06, 2014
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1534 Views
Knowledge Extraction from Archaeological Texts
Oct 06, 2014
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1653 Views
Information Retrieval from Clinical Reports
Oct 06, 2014
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2392 Views
Semantic Construction Grammars
Oct 06, 2014
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1682 Views
Structured Learning for Mapping Natural Language to Spatial Calculi Models
Oct 06, 2014
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1599 Views
The Wisdom of the Crowds to Assist Never Ending Learning Tasks through Conversin...
Oct 06, 2014
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1524 Views
Knowledge Extraction From Business Texts
Oct 06, 2014
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1697 Views
Learning Faster From Easy Data
Optimistic Rates
Oct 06, 2014
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1714 Views
Selective sampling algorithms for cost-sensitive multiclass prediction
Oct 06, 2014
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1804 Views
Localization and Adaptation in Online Learning Through Relaxations
Oct 06, 2014
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1598 Views
Follow the leader if you can, Hedge if you must
Oct 06, 2014
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1980 Views
Fast rates for the multi-armed bandit
Oct 06, 2014
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2233 Views
Machine Learning for Sustainability
Computational Sustainability
Oct 06, 2014
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1502 Views
Network Design Problems in Landscape Connectivity Conservation
Oct 06, 2014
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1563 Views
SMART-ISO: High-Dimensional Stochastic Optimization for Renewables Integration
Oct 06, 2014
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1503 Views
Large-scale Probabilistic Energy Forecasting
Oct 06, 2014
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1465 Views
BirdCast: Novel Machine Learning Methods for Understanding Continent-Scale Bird ...
Oct 06, 2014
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1566 Views
Adaptive management across time and space
Oct 06, 2014
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1415 Views
Machine Learning in Computational Biology
Genetic variation in gene regulation
Oct 06, 2014
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1439 Views
Multi-view multi-task learning for drug sensitivity prediction
Oct 06, 2014
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1935 Views
Multi-trait genomic selection via multivariate regression with structured regula...
Oct 06, 2014
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1407 Views
Epigenome-Wide Association Studies Without the Need for Cell-Type Composition
Oct 06, 2014
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1719 Views
A Poisson-multivariate normal hierarchical model for measuring microbial conditi...
Oct 06, 2014
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1511 Views
Multisource transfer learning for host-pathogen protein interaction prediction i...
Oct 06, 2014
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1575 Views
Sparse Estimation of Module Gaussian Graphical Models with Applications to Cance...
Oct 06, 2014
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1889 Views
Identifying Perturbed Genes in the Regulatory Networks from Gene Expression Data
Oct 06, 2014
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1637 Views
Kernel bilinear regression for toxicogenetics
Oct 06, 2014
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1722 Views
A convolutional model of RNA-binding proteins
Oct 06, 2014
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1755 Views
New Directions in Transfer and Multi-Task: Learning Across Domains and Tasks
An Overview of Transfer Learning
Oct 06, 2014
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3210 Views
Sparse Coding for Multi-task and Transfer Learning
Oct 06, 2014
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2122 Views
Understanding Domain Adaptation Learning - the good and the not so good
Oct 06, 2014
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2455 Views
Nonparametric Bayesian inference using kernel distribution embeddings
Oct 06, 2014
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2064 Views
Learning kernels for visual domain adaptation
Oct 06, 2014
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2017 Views
Workshop on Spectral Learning
Partial Information from Spectral Methods
Oct 06, 2014
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1943 Views
Nonparametric Latent Variable Models via Kernel Embedding of Distributions
Oct 06, 2014
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2122 Views
Weighted Spectral Learning and the Efficiency Sharpening Algorithm
Oct 06, 2014
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1605 Views
Discovering Hidden Variables in Noisy-Or Networks
Oct 06, 2014
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1718 Views
Clustering Data: Does Theory Help?
Oct 06, 2014
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1716 Views