Saturday Morning Videos: Some ICML 2014 presentations.

There goes your saturday morning, here are some videos from the ICML meeting that might be of interest to the readers of Nuit Blanche:

• Robust Principal Component Analysis with Complex Noise Authors: Qian Zhao; Deyu Meng; Zongben Xu; Wangmeng Zuo; Lei Zhang
• Randomized Nonlinear Component Analysis Authors: David Lopez-Paz; Suvrit Sra; Alex Smola; Zoubin Ghahramani; Bernhard Schoelkopf
• Discriminative Features via Generalized Eigenvectors Authors: Nikos Karampatziakis; Paul Mineiro
• Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery Authors: Cun Mu; Bo Huang; John Wright; Donald Goldfarb
• Coherent Matrix Completion Authors: Yudong Chen; Srinadh Bhojanapalli; Sujay Sanghavi; Rachel Ward
• Universal Matrix Completion Authors: Srinadh Bhojanapalli; Prateek Jain
• Exponential Family Matrix Completion under Structural Constraints Authors: Suriya Gunasekar; Pradeep Ravikumar; Joydeep Ghosh
• An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization Authors: Qihang Lin; Lin Xiao
• A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data Authors: Jinfeng Yi; Lijun Zhang; Jun Wang; Rong Jin; Anil Jain
• Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization Authors: Hua Wang; Feiping Nie; Heng Huang
• Fast Stochastic Alternating Direction Method of Multipliers Authors: Wenliang Zhong; James Kwok
• Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits Authors: Alekh Agarwal; Daniel Hsu; Satyen Kale; John Langford; Lihong Li; Robert Schapire
• Narrowing the Gap: Random Forests In Theory and In Practice Authors: Misha Denil; David Matheson; Nando De Freitas
• Marginalized Denoising Auto-encoders for Nonlinear Representations Authors: Minmin Chen; Kilian Weinberger; Fei Sha; Yoshua Bengio
• Deep Generative Stochastic Networks Trainable by Backprop Authors: Yoshua Bengio; Eric Laufer; Guillaume Alain; Jason Yosinski
• Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices Authors: Jose Miguel Hernandez-Lobato; Neil Houlsby; Zoubin Ghahramani
• Cold-start Active Learning with Robust Ordinal Matrix Factorization Authors: Neil Houlsby; Jose Miguel Hernandez-Lobato; Zoubin Ghahramani
• Probabilistic Matrix Factorization with Non-random Missing Data Authors: Jose Miguel Hernandez-Lobato; Neil Houlsby; Zoubin Ghahramani
• A Deep Semi-NMF Model for Learning Hidden Representations Authors: George Trigeorgis; Konstantinos Bousmalis; Stefanos Zafeiriou; Bjoern Schuller
• Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image ProcessingAuthors: Benjamin Haeffele; Eric Young; Rene Vidal
• An Information Geometry of Statistical Manifold Learning Authors: Ke Sun; St
• Geodesic Distance Function Learning via Heat Flow on Vector Fields Authors: Binbin Lin; Ji Yang; Xiaofei He; Jieping Ye
• On learning to localize objects with minimal supervisionAuthors: Hyun Oh Song; Ross Girshick; Stefanie Jegelka; Julien Mairal; Zaid Harchaoui; Trevor Darrell
• Active Detection via Adaptive Submodularity Authors: Yuxin Chen; Hiroaki Shioi; Cesar Fuentes Montesinos; Lian Pin Koh; Serge Wich; Andreas Krause
• Rank-One Matrix Pursuit for Matrix Completion Authors: Zheng Wang; Ming-Jun Lai; Zhaosong Lu; Wei Fan; Hasan Davulcu; Jieping Ye
• Nuclear Norm Minimization via Active Subspace Selection Authors: Cho-Jui Hsieh; Peder Olsen
• Riemannian Pursuit for Big Matrix Recovery Authors: Mingkui Tan; Ivor W. Tsang; Li Wang; Bart Vandereycken; Sinno Jialin Pan
• Multiresolution Matrix Factorization Authors: Risi Kondor; Nedelina Teneva; Vikas Garg
• Coding for Random Projections Authors: Ping Li; Michael Mitzenmacher; Anshumali Shrivastava
• Nearest Neighbors Using Compact Sparse Codes Authors: Anoop Cherian
• Composite Quantization for Approximate Nearest Neighbor Search Authors: Ting Zhang; Chao Du; Jingdong Wang
• Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization Authors: Xiaotong Yuan; Ping Li; Tong Zhang
• Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint Authors: Ji Liu; Jieping Ye; Ryohei Fujimaki
• Efficient Algorithms for Robust One-bit Compressive Sensing Authors: Lijun Zhang; Jinfeng Yi; Rong Jin
• Nonlinear Information-Theoretic Compressive Measurement Design Authors: Liming Wang; Abolfazl Razi; Miguel Rodrigues; Robert Calderbank; Lawrence Carin
• Elementary Estimators for High-Dimensional Linear Regression Authors: Eunho Yang; Aurelie Lozano; Pradeep Ravikumar
• Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional SettingAuthors: Yudong Chen; Jiaming Xu
• Kernel Mean Estimation and Stein Effect Authors: Krikamol Muandet; Kenji Fukumizu; Bharath Sriperumbudur; Arthur Gretton; Bernhard Schoelkopf
• Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels Authors: Jiyan Yang; Vikas Sindhwani; Haim Avron; Michael Mahoney
• A Unifying View of Representer Theorems Authors: Andreas Argyriou; Francesco Dinuzzo
• Provable Bounds for Learning Some Deep Representations Authors: Sanjeev Arora; Aditya Bhaskara; Rong Ge; Tengyu Ma
• K-means recovers ICA filters when independent components are sparse Authors: Alon Vinnikov; Shai Shalev-Shwartz
• Anti-differentiating approximation algorithms:A case study with min-cuts, spectral, and flow Authors: David Gleich; Michael Mahoney
• Nonnegative Sparse PCA with Provable Guarantees Authors: Megasthenis Asteris; Dimitris Papailiopoulos; Alexandros Dimakis
• Finding Dense Subgraphs via Low-Rank Bilinear Optimization Authors: Dimitris Papailiopoulos; Ioannis Mitliagkas; Alexandros Dimakis; Constantine Caramanis
• Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm Authors: Hadi Daneshmand; Manuel Gomez-Rodriguez; Le Song; Bernhard Schoelkopf
• Sparse Reinforcement Learning via Convex OptimizationAuthors: Zhiwei Qin; Weichang Li; Firdaus Janoos
• Elementary Estimators for Sparse Covariance Matrices and other Structured MomentsAuthors: Eunho Yang; Aurelie Lozano; Pradeep Ravikumar
• Robust Inverse Covariance Estimation under Noisy Measurements Authors: Jun-Kun Wang; Shou-de Lin
• An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy Authors: Gavin Taylor; Connor Geer; David Piekut
• Compact Random Feature Maps Authors: Raffay Hamid; Ying Xiao; Alex Gittens; Dennis Decoste
• Margins, Kernels and Non-linear Smoothed Perceptrons Authors: Aaditya Ramdas; Javier Pe
• Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models Authors: Robert McGibbon; Bharath Ramsundar; Mohammad Sultan; Gert Kiss; Vijay Pande

N00228947.jpg was taken on September 03, 2014 and received on Earth September 04, 2014. The camera was pointing toward TITAN at approximately 2,484,614 miles (3,998,598 kilometers) away, and the image was taken using the CL1 and UV3 filters. 
Image Credit: NASA/JPL/Space Science Institute
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