NIPS Workshops, Lake Tahoe 2013
113 Videos · Dec 9, 2013
About
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.
Videos
Crowdsourcing: Theory, Algorithms and Applications
Social Status and the Design of Optimal Badges
Oct 6, 2014
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1749 views
Adaptive Contract Design for Crowdsourcing
Oct 6, 2014
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1867 views
Matching Workers Expertise with Tasks: Incentives in Heterogeneous
Oct 6, 2014
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2000 views
Algorithmic Crowdsourcing
Oct 6, 2014
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1738 views
Collaborative Decision Making
Oct 6, 2014
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1653 views
Crowdsourcing knowledge, one billion facts at a time
Oct 6, 2014
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2290 views
Incentive Design for Crowdsourcing: A Game-Theoretic Approach
Oct 6, 2014
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1812 views
Crowd-Powered Systems
Oct 6, 2014
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1959 views
Deep Learning
Two architectures for one-shot learning
Oct 6, 2014
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3476 views
New insights on parameter estimation
Oct 6, 2014
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3310 views
A PAC-Bayesian Analysis of Dropouts
Oct 6, 2014
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2101 views
Playing Atari with Deep Reinforcement Learning
Oct 6, 2014
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5096 views
Discrete Optimization in Machine Learning: Connecting Theory and Practice
Balancing the Explore/Exploit Tradeoff in Interactive Structured Prediction
Oct 6, 2014
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2692 views
MAD-Bayes: MAP-based Asymptotic Derivations from Bayes
Oct 6, 2014
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3053 views
Summarizing Big Data: A Practical Use for Submodular Functions
Oct 6, 2014
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1837 views
Tutorial on Discrete Convex Analysis: Basics, DC Programming, and Submodular Wel...
Oct 6, 2014
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1961 views
Large Scale Matrix Analysis and Inference
Large-scale matrix operations using a data-flow engine
Oct 6, 2014
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1712 views
Sketching as a Tool for Numerical Linear Algebra
Oct 6, 2014
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2003 views
Large Scale Matrix Analysis and Inference
Oct 6, 2014
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1733 views
Primal-Dual Graph Algorithms for MapReduce
Oct 6, 2014
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1670 views
Learning with Matrix Parameters
Oct 6, 2014
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1726 views
Efficiently implementing sparsity in learning
Oct 6, 2014
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1780 views
Near-Optimal Algorithms for Online Matrix Prediction
Oct 6, 2014
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1887 views
Spectral sparsification of graphs: an overview of theory and practical methods
Oct 6, 2014
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1629 views
Large scale matrix algorithms and matrix completion
Oct 6, 2014
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1979 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
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1628 views
Dissimilarity Representation for Unsupervised and Supervised Tract Segmentation
Oct 6, 2014
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1587 views
Sparse Modeling in fMRI Analysis
Oct 6, 2014
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1754 views
The geometry of high-level visual representations
Oct 6, 2014
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1680 views
Building common, high-dimensional models of neural representational spaces using...
Oct 6, 2014
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1834 views
Resting state functional connectivity: perils and promises
Oct 6, 2014
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1677 views
Predicting Short-Term Cognitive Change from Longitudinal Neuroimaging Analysis
Oct 6, 2014
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1910 views
Learning to Classify Psychiatric Disorders based on fMR Images: Autism vs Health...
Oct 6, 2014
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1909 views
Speech-based Psychiatric Evaluation
Oct 6, 2014
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1570 views
Hyperalignment of Multi-Subject fMRI Data by Synchronized Projections
Oct 6, 2014
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1663 views
An oblique approach to prediction of conversion to Alzheimer's Disease with mult...
Oct 6, 2014
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1717 views
Modern Nonparametric Methods in Machine Learning
Analysis of the copula correlation matrix for meta-elliptical distributions
Oct 6, 2014
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2113 views
Nonparametric Active Learning
Oct 6, 2014
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2201 views
Kernel means and shrinkage
Oct 6, 2014
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2610 views
The Hidden Convexity of Spectral Clustering
Oct 6, 2014
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1919 views
Regularization and Computations: Early stopping for Online Learning
Oct 6, 2014
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1701 views
Surprising phenomena in inference for iid p dimensional data for 0<p/n<1 and for...
Oct 6, 2014
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1733 views
Laplace operators and regularization Fast algorithms for translation invariant a...
Oct 6, 2014
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2840 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
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2986 views
Experiment Design in Static Models of Dynamic Biological Systems
Oct 6, 2014
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1838 views
Automated Feature Engineering Applied to Causality
Oct 6, 2014
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2380 views
Why Am I Stuck? Token-Level Causal Reasoning for AI and Robotics
Oct 6, 2014
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1653 views
Clinical trials with non-adherence and unblinding: a graphical perspective
Oct 6, 2014
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1815 views
Codalab - A new service for data exchange, code execution, benchmarks and reprod...
Oct 6, 2014
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1805 views
Distinguishing between cause and effect: estimation of causal graphs with two va...
Oct 6, 2014
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1984 views
Causal Transportability with Limited Experiments
Oct 6, 2014
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1781 views
Learning Causal Structure from Undersampled Time Series
Oct 6, 2014
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1761 views
Summary of the challenge results and award distribution
Oct 6, 2014
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2739 views
Historical perspective in causal structure learning from observational and exper...
Oct 6, 2014
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1545 views
Conditional distribution variability measures for causality detection
Oct 6, 2014
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1787 views
Path Constraints for Causal Discovery
Oct 6, 2014
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1666 views
A Review of Partially Observable Markov Decision Processes for Causal Modeling
Oct 6, 2014
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2036 views
Bayesian experimental design
Oct 6, 2014
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1886 views
Causal inferences from complex observational and randomized studies with time-va...
Oct 6, 2014
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1630 views
Output Representation Learning
GSNs: Avoiding the Intractability of Marginalization by Learning the Transition ...
Oct 6, 2014
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1982 views
Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling
Oct 6, 2014
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1650 views
Learning with Marginalized Corruption
Oct 6, 2014
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1642 views
DeViSE: A Deep Visual-Semantic Embedding Model
Oct 6, 2014
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2907 views
On the Design of Output Representations in Deep Networks for Speech Recognition
Oct 6, 2014
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1660 views
Predicting Dialogue Outcomes over Structured Latent Representations
Oct 6, 2014
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1443 views
Latent Structured Ranking
Oct 6, 2014
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1643 views
Amortized Integer Linear Programming Inference
Oct 6, 2014
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1749 views
Data Driven Education
What I've Learned about Learning
Oct 6, 2014
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1724 views
Discovering and removing barriers to learning
Oct 6, 2014
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1554 views
Creating Infinitely Adaptable Courseware
Oct 6, 2014
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1615 views
Personalized Learning and Temporal Modeling at Khan Academy
Oct 6, 2014
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1905 views
Opportunities and Challenges for Education Research on Coursera
Oct 6, 2014
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1795 views
Demographics and learner behavior in MITx and HarvardX MOOCs
Oct 6, 2014
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1559 views
Knowledge Extraction from Text (KET)
Structured Learning for Mapping Natural Language to Spatial Calculi Models
Oct 6, 2014
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1605 views
Never-Ending Language Learning (NELL)
Oct 6, 2014
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1836 views
Quick over of Machine Reading Approaches
Oct 6, 2014
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1525 views
What should be extracted from text
Oct 6, 2014
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1540 views
The Wisdom of the Crowds to Assist Never Ending Learning Tasks through Conversin...
Oct 6, 2014
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1531 views
Semantic Construction Grammars
Oct 6, 2014
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1684 views
Knowledge Extraction from Archaeological Texts
Oct 6, 2014
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1658 views
Knowledge Extraction From Business Texts
Oct 6, 2014
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1702 views
Information Retrieval from Clinical Reports
Oct 6, 2014
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2399 views
Learning Faster From Easy Data
Follow the leader if you can, Hedge if you must
Oct 6, 2014
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1989 views
Optimistic Rates
Oct 6, 2014
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1724 views
Localization and Adaptation in Online Learning Through Relaxations
Oct 6, 2014
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1605 views
Fast rates for the multi-armed bandit
Oct 6, 2014
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2244 views
Selective sampling algorithms for cost-sensitive multiclass prediction
Oct 6, 2014
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1811 views
Machine Learning for Sustainability
Network Design Problems in Landscape Connectivity Conservation
Oct 6, 2014
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1573 views
SMART-ISO: High-Dimensional Stochastic Optimization for Renewables Integration
Oct 6, 2014
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1507 views
Computational Sustainability
Oct 6, 2014
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1508 views
Adaptive management across time and space
Oct 6, 2014
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1420 views
BirdCast: Novel Machine Learning Methods for Understanding Continent-Scale Bird ...
Oct 6, 2014
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1574 views
Large-scale Probabilistic Energy Forecasting
Oct 6, 2014
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1469 views
Machine Learning in Computational Biology
Identifying Perturbed Genes in the Regulatory Networks from Gene Expression Data
Oct 6, 2014
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1642 views
Multi-trait genomic selection via multivariate regression with structured regula...
Oct 6, 2014
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1412 views
Multi-view multi-task learning for drug sensitivity prediction
Oct 6, 2014
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1940 views
Genetic variation in gene regulation
Oct 6, 2014
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1447 views
A Poisson-multivariate normal hierarchical model for measuring microbial conditi...
Oct 6, 2014
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1515 views
Kernel bilinear regression for toxicogenetics
Oct 6, 2014
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1729 views
A convolutional model of RNA-binding proteins
Oct 6, 2014
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1758 views
Sparse Estimation of Module Gaussian Graphical Models with Applications to Cance...
Oct 6, 2014
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1894 views
Epigenome-Wide Association Studies Without the Need for Cell-Type Composition
Oct 6, 2014
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1723 views
Multisource transfer learning for host-pathogen protein interaction prediction i...
Oct 6, 2014
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1580 views
New Directions in Transfer and Multi-Task: Learning Across Domains and Tasks
An Overview of Transfer Learning
Oct 6, 2014
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3219 views
Learning kernels for visual domain adaptation
Oct 6, 2014
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2023 views
Nonparametric Bayesian inference using kernel distribution embeddings
Oct 6, 2014
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2069 views
Sparse Coding for Multi-task and Transfer Learning
Oct 6, 2014
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2126 views
Understanding Domain Adaptation Learning - the good and the not so good
Oct 6, 2014
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2464 views
Workshop on Spectral Learning
Discovering Hidden Variables in Noisy-Or Networks
Oct 6, 2014
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1724 views
Clustering Data: Does Theory Help?
Oct 6, 2014
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1719 views
Weighted Spectral Learning and the Efficiency Sharpening Algorithm
Oct 6, 2014
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1614 views
Nonparametric Latent Variable Models via Kernel Embedding of Distributions
Oct 6, 2014
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2128 views
Partial Information from Spectral Methods
Oct 6, 2014
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1948 views