Video Journal of Machine Learning Abstracts » Volume 3

Welcome to the 3rd issue of the Journal of Machine Learning Video Abstracts, published by Knowledge for All Foundation Ltd, London, with the goal of providing the legacy of the PASCAL2 Network of Excellence. This issue is equally dedicated to presenting the spotlight presentations of the 2012 Neural Information Processing Systems (NIPS) Conference held in December 3, 2012, Lake Tahoe, Nevada, United States as the Volume 2 and Volume 3 of this Journal. The original papers which were submitted to NIPS 2012 were also added to the video abstracts.

Journal Video Abstracts

Putting Bayes to sleep
Wouter M. Koolen

Confusion-Based Online Learning and a Passive-Aggressive Scheme
Liva Ralaivola

Volume Regularization for Binary Classification
Koby Crammer

Fast Resampling Weighted v-Statistics
Chunxiao Zhou

Pointwise Tracking the Optimal Regression Function
Yair Wiener

A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation
Aaron Defazio

Active Comparison of Prediction Models
Christoph Sawade

Entangled Monte Carlo
Seong-Hwan Jun

Modelling Reciprocating Relationships with Hawkes Processes
Charles Blundell

Continuous Relaxations for Discrete Hamiltonian Monte Carlo
Yichuan Zhang

Efficient high dimensional maximum entropy modeling via symmetric partition functions
Paul Vernaza

A quasi-Newton proximal splitting method
Jalal Fadili

Factoring nonnegative matrices with linear programs
Victor Bittorf

Scaled Gradients on Grassmann Manifolds for Matrix Completion
Thanh Ngo

Multi-criteria Anomaly Detection using Pareto Depth Analysis
Alfred O. Hero III

Semi-Supervised Domain Adaptation with Non-Parametric Copulas
David Lopez-Paz

ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky

Searching for objects driven by context
Bogdan Alexe

3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model
Sanja Fidler

Analyzing 3D Objects in Cluttered Images
Mohsen Hejrati

Discriminatively Trained Sparse Code Gradients for Contour Detection
Xiaofeng Ren

Majorization for CRFs and Latent Likelihoods
Anna Choromanska

Kernel Hyperalignment
Peter J. Ramadge

Learning Networks of Heterogeneous Influence
Nan Du

Learning from Distributions via Support Measure Machines
Krikamol Muandet

Multiclass Learning Approaches: A Theoretical Comparison with Implications
Amit Daniely

Near Optimal Chernoff Bounds for Markov Decision Processes
Teodor Mihai Moldovan

Regularized Off-Policy TD-Learning
Bo Liu

Human memory search as a random walk in a semantic network
Joshua T. Abbott

Locating Changes in Highly Dependent Data with an Unknown Number of Change Points
Azadeh Khaleghi

Classification Calibration Dimension for General Multiclass Losses
Harish Guruprasad

Multi-Stage Multi-Task Feature Learning
Changshui Zhang

Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space
Yanyan Lan

Iterative ranking from pair-wise comparisons
Sahand Negahban

Hierarchical spike coding of sound
Yan Karklin

Patient Risk Stratification for Hospital-Associated C. Diff as a Time-Series Classification Task
Jenna Wiens

On Multilabel Classification and Ranking with Partial Feedback
Francesco Orabona

Scalable Inference of Overlapping Communities
Prem Gopalan

Bayesian Nonparametric Modeling of Suicide Attempts
Isabel Valera

Augment-and-Conquer Negative Binomial Processes
Mingyuan Zhou

Symmetric Correspondence Topic Models for Multilingual Text Analysis
Kosuke Fukumasu

A Spectral Algorithm for Latent Dirichlet Allocation
Daniel Hsu

Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models
Jeff Beck

Identification of Recurrent Patterns in the Activation of Brain Networks
Firdaus Janoos

Delay Compensation with Dynamical Synapses
C. C. Alan Fung

Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model
Sander M. Bohte

Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction
Ken Nagata