(105 events)   Timezone: »  
Show all »
Program Highlights »
Toggle Poster Visibility
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Statistical Decision-Theoretic Framework for Social Choice
Hossein Azari Soufiani · David Parkes · Lirong Xia
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Clamping Variables and Approximate Inference
Adrian Weller · Tony Jebara
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Randomized Experimental Design for Causal Graph Discovery
Huining Hu · Zhentao Li · Adrian R Vetta
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Structure Regularization for Structured Prediction
Xu Sun
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Accelerated Mini-batch Randomized Block Coordinate Descent Method
Tuo Zhao · Mo Yu · Yiming Wang · Raman Arora · Han Liu
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP
Shinichi Nakajima · Issei Sato · Masashi Sugiyama · Kazuho Watanabe · Hiroko Kobayashi
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Analysis of Brain States from Multi-Region LFP Time-Series
Kyle R Ulrich · David Carlson · Wenzhao Lian · Jana S Borg · Kafui Dzirasa · Lawrence Carin
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning
Mohsen Ravanbakhsh · Reihaneh Rabbany · Russell Greiner
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning
Robert Lindsey · Mohammad Khajah · Michael Mozer
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Biclustering Using Message Passing
Luke O'Connor · Soheil Feizi
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Computing Nash Equilibria in Generalized Interdependent Security Games
Hau Chan · Luis E Ortiz
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Cone-Constrained Principal Component Analysis
Yash Deshpande · Andrea Montanari · Emile Richard
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models
Yarin Gal · Mark van der Wilk · Carl Edward Rasmussen
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Divide-and-Conquer Learning by Anchoring a Conical Hull
Tianyi Zhou · Jeff Bilmes · Carlos Guestrin
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Diverse Randomized Agents Vote to Win
Albert Jiang · Leandro Soriano Marcolino · Ariel Procaccia · Tuomas Sandholm · Nisarg Shah · Milind Tambe
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials
Shenlong Wang · Alex Schwing · Raquel Urtasun
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Fairness in Multi-Agent Sequential Decision-Making
Chongjie Zhang · Julie A Shah
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Flexible Transfer Learning under Support and Model Shift
Xuezhi Wang · Jeff Schneider
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Generalized Unsupervised Manifold Alignment
Zhen Cui · Hong Chang · Shiguang Shan · Xilin Chen
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data
Karthika Mohan · Judea Pearl
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Multiple Tasks in Parallel with a Shared Annotator
Haim Cohen · Yacov Crammer
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Improved Distributed Principal Component Analysis
Yingyu Liang · Maria-Florina F Balcan · Vandana Kanchanapally · David Woodruff
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Incremental Local Gaussian Regression
Franziska Meier · Philipp Hennig · Stefan Schaal
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Deep Joint Task Learning for Generic Object Extraction
Xiaolong Wang · Liliang Zhang · Liang Lin · Zhujin Liang · Wangmeng Zuo
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
Jonathan J Tompson · Arjun Jain · Yann LeCun · Christoph Bregler
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Just-In-Time Learning for Fast and Flexible Inference
S. M. Ali Eslami · Daniel Tarlow · Pushmeet Kohli · John Winn
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Chordal Markov Networks by Dynamic Programming
Kustaa Kangas · Mikko Koivisto · Teppo Niinimäki
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Shuffle Ideals Under Restricted Distributions
Dongqu Chen
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Optimal Commitment to Overcome Insecurity
Avrim Blum · Nika Haghtalab · Ariel Procaccia
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Message Passing Inference for Large Scale Graphical Models with High Order Potentials
Jian Zhang · Alex Schwing · Raquel Urtasun
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition
Hanie Sedghi · Anima Anandkumar · Edmond A Jonckheere
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Multitask learning meets tensor factorization: task imputation via convex optimization
Kishan Wimalawarne · Masashi Sugiyama · Ryota Tomioka
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
On Multiplicative Multitask Feature Learning
Xin Wang · Jinbo Bi · Shipeng Yu · Jiangwen Sun
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Sparse PCA with Oracle Property
Quanquan Gu · Zhaoran Wang · Han Liu
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
PAC-Bayesian AUC classification and scoring
James Ridgway · Pierre Alquier · Nicolas Chopin · Feng Liang
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization
Meisam Razaviyayn · Mingyi Hong · Zhi-Quan Luo · Jong-Shi Pang
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Projective dictionary pair learning for pattern classification
Shuhang Gu · Lei Zhang · Wangmeng Zuo · Xiangchu Feng
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models
Cho-Jui Hsieh · Inderjit S Dhillon · Pradeep Ravikumar · Stephen Becker · Peder A Olsen
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Real-Time Decoding of an Integrate and Fire Encoder
Shreya Saxena · Munther Dahleh
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Repeated Contextual Auctions with Strategic Buyers
Kareem Amin · Afshin Rostamizadeh · Umar Syed
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Scale Adaptive Blind Deblurring
Haichao Zhang · Jianchao Yang
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Self-Paced Learning with Diversity
Lu Jiang · Deyu Meng · Shoou-I Yu · Zhenzhong Lan · Shiguang Shan · Alexander Hauptmann
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models
Yichuan Zhang · Charles Sutton
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Sequential Monte Carlo for Graphical Models
Christian Andersson Naesseth · Fredrik Lindsten · Thomas Schön
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks
Yuanyuan Mi · C. C. Alan Fung · K. Y. Michael Wong · Si Wu
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Streaming, Memory Limited Algorithms for Community Detection
Se-Young Yun · marc lelarge · Alexandre Proutiere
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Submodular Attribute Selection for Action Recognition in Video
Jingjing Zheng · Zhuolin Jiang · Rama Chellappa · Jonathon P Phillips
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Universal Option Models
hengshuai yao · Csaba Szepesvari · Richard Sutton · Joseph Modayil · Shalabh Bhatnagar
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
large scale canonical correlation analysis with iterative least squares
Yichao Lu · Dean P Foster
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Framework for Testing Identifiability of Bayesian Models of Perception
Luigi Acerbi · Wei Ji Ma · Sethu Vijayakumar
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Augur: Data-Parallel Probabilistic Modeling
Jean-Baptiste Tristan · Daniel Huang · Joseph Tassarotti · Adam Pocock · Stephen Green · Guy L Steele
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Tight Continuous Relaxation of the Balanced k-Cut Problem
Syama Sundar Rangapuram · Pramod Kaushik Mudrakarta · Matthias Hein
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Bregman Alternating Direction Method of Multipliers
Huahua Wang · Arindam Banerjee
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Causal Inference through a Witness Protection Program
Ricardo Silva · Robin Evans
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Causal Strategic Inference in Networked Microfinance Economies
Mohammad T Irfan · Luis E Ortiz
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Optimal Teaching for Limited-Capacity Human Learners
Kaustubh R Patil · Jerry Zhu · Łukasz Kopeć · Bradley C Love
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data
Florian Stimberg · Andreas Ruttor · Manfred Opper
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Recurrent Models of Visual Attention
Volodymyr Mnih · Nicolas Heess · Alex Graves · koray kavukcuoglu
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Unsupervised learning of an efficient short-term memory network
Pietro Vertechi · Wieland Brendel · Christian K Machens
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Filtering Approach to Stochastic Variational Inference
Neil Houlsby · David Blei
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Complete Variational Tracker
Ryan D Turner · Steven Bottone · Bhargav Avasarala
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Bayesian Sampling Using Stochastic Gradient Thermostats
Nan Ding · Youhan Fang · Ryan Babbush · Changyou Chen · Robert D Skeel · Hartmut Neven
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems
Cong Han Lim · Stephen Wright
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Communication Efficient Distributed Machine Learning with the Parameter Server
Mu Li · David G Andersen · Alexander Smola · Kai Yu
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Concavity of reweighted Kikuchi approximation
Po-Ling Loh · Andre Wibisono
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Coresets for k-Segmentation of Streaming Data
Guy Rosman · Mikhail Volkov · Dan Feldman · John W Fisher III · Daniela Rus
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Convolutional Neural Network Architectures for Matching Natural Language Sentences
Baotian Hu · Zhengdong Lu · Hang Li · Qingcai Chen
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Decoupled Variational Gaussian Inference
Mohammad Emtiyaz Khan
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Deep Recursive Neural Networks for Compositionality in Language
Ozan Irsoy · Claire Cardie
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Discovering Structure in High-Dimensional Data Through Correlation Explanation
Greg Ver Steeg · Aram Galstyan
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Distributed Bayesian Posterior Sampling via Moment Sharing
Minjie Xu · Balaji Lakshminarayanan · Yee Whye Teh · Jun Zhu · Bo Zhang
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Expectation-Maximization for Learning Determinantal Point Processes
Jennifer A Gillenwater · Alex Kulesza · Emily Fox · Ben Taskar
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Extracting Latent Structure From Multiple Interacting Neural Populations
Joao Semedo · Amin Zandvakili · Adam Kohn · Christian K Machens · Byron M Yu
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities
Tianbao Yang · Rong Jin
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Incremental Clustering: The Case for Extra Clusters
Margareta Ackerman · Sanjoy Dasgupta
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Modeling Deep Temporal Dependencies with Recurrent "Grammar Cells"
Vincent Michalski · Roland Memisevic · Kishore Konda
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Multivariate Regression with Calibration
Han Liu · Lie Wang · Tuo Zhao
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
On Prior Distributions and Approximate Inference for Structured Variables
Oluwasanmi Koyejo · Rajiv Khanna · Joydeep Ghosh · Russell Poldrack
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection
Sang-Yun Oh · Onkar Dalal · Kshitij Khare · Bala Rajaratnam
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Recursive Inversion Models for Permutations
Christopher Meek · Marina Meila
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Smoothed Gradients for Stochastic Variational Inference
Stephan Mandt · David Blei
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Stochastic variational inference for hidden Markov models
Nick Foti · Jason Xu · Dillon Laird · Emily Fox
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks
Alexey Dosovitskiy · Jost Tobias Springenberg · Martin Riedmiller · Thomas Brox
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Approximating Hierarchical MV-sets for Hierarchical Clustering
Assaf Glazer · Omer Weissbrod · Michael Lindenbaum · Shaul Markovitch
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Algorithm selection by rational metareasoning as a model of human strategy selection
Falk Lieder · Dillon Plunkett · Jessica B Hamrick · Stuart J Russell · Nicholas Hay · Tom Griffiths
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning convolution filters for inverse covariance estimation of neural network connectivity
George Mohler
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Object Localization based on Structural SVM using Privileged Information
Jan Feyereisl · Suha Kwak · Jeany Son · Bohyung Han
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Unsupervised Deep Haar Scattering on Graphs
Xu Chen · Xiuyuan Cheng · Stephane Mallat
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Partition-wise Linear Models
Hidekazu Oiwa · Ryohei Fujimaki
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Optimal decision-making with time-varying evidence reliability
Jan Drugowitsch · Ruben Moreno-Bote · Alexandre Pouget
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Shape and Illumination from Shading using the Generic Viewpoint Assumption
Daniel Zoran · Dilip Krishnan · José Bento · Bill Freeman
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen · Christian Puhrsch · Rob Fergus
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily Denton · Wojciech Zaremba · Joan Bruna · Yann LeCun · Rob Fergus
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Exclusive Feature Learning on Arbitrary Structures via $\ell_{1,2}$-norm
Deguang Kong · Ryohei Fujimaki · Ji Liu · Feiping Nie · Chris Ding
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Stochastic Proximal Gradient Descent with Acceleration Techniques
Atsushi Nitanda
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Gibbs-type Indian Buffet Processes
Creighton Heaukulani · Daniel Roy
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Communication-Efficient Distributed Dual Coordinate Ascent
Martin Jaggi · Virginia Smith · Martin Takac · Jonathan Terhorst · Sanjay Krishnan · Thomas Hofmann · Michael Jordan
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Advances in Learning Bayesian Networks of Bounded Treewidth
Siqi Nie · Denis D Maua · Cassio P de Campos · Qiang Ji
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Making Pairwise Binary Graphical Models Attractive
Nicholas Ruozzi · Tony Jebara
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Mode Estimation for High Dimensional Discrete Tree Graphical Models
Chao Chen · Han Liu · Dimitris Metaxas · Tianqi Zhao
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Transportability from Multiple Environments with Limited Experiments: Completeness Results
Elias Bareinboim · Judea Pearl
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A statistical model for tensor PCA
Emile Richard · Andrea Montanari
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations
Zhenyao Zhu · Ping Luo · Xiaogang Wang · Xiaoou Tang
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Hardness of parameter estimation in graphical models
Guy Bresler · David Gamarnik · Devavrat Shah
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
On Model Parallelization and Scheduling Strategies for Distributed Machine Learning
Seunghak Lee · Jin Kyu Kim · Xun Zheng · Qirong Ho · Garth Gibson · Eric Xing