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(102 events)   Timezone: America/Los_Angeles  
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Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #1
Texture Synthesis Using Convolutional Neural Networks
In Poster Session
Leon A Gatys · Alexander Ecker · Matthias Bethge
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #2
Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling
In Poster Session
Ming Liang · Xiaolin Hu · Bo Zhang
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #3
Grammar as a Foreign Language
In Poster Session
Oriol Vinyals · Łukasz Kaiser · Terry Koo · Slav Petrov · Ilya Sutskever · Geoffrey Hinton
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #4
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction
In Poster Session
Kisuk Lee · Aleksandar Zlateski · Vishwanathan Ashwin · H. Sebastian Seung
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #5
Generative Image Modeling Using Spatial LSTMs
In Poster Session
Lucas Theis · Matthias Bethge
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #6
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
In Poster Session
Shaoqing Ren · Kaiming He · Ross Girshick · Jian Sun
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #7
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
In Poster Session
Jimei Yang · Scott E Reed · Ming-Hsuan Yang · Honglak Lee
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #8
Exploring Models and Data for Image Question Answering
In Poster Session
Mengye Ren · Jamie Kiros · Richard Zemel
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #9
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question
In Poster Session
Haoyuan Gao · Junhua Mao · Jie Zhou · Zhiheng Huang · Lei Wang · Wei Xu
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #10
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation
In Poster Session
Marijn F Stollenga · Wonmin Byeon · Marcus Liwicki · Jürgen Schmidhuber
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #11
Learning From Small Samples: An Analysis of Simple Decision Heuristics
In Poster Session
Özgür Şimşek · Marcus Buckmann
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #12
3D Object Proposals for Accurate Object Class Detection
In Poster Session
Xiaozhi Chen · Kaustav Kundu · Yukun Zhu · Andrew G Berneshawi · Huimin Ma · Sanja Fidler · Raquel Urtasun
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #13
The Poisson Gamma Belief Network
In Poster Session
Mingyuan Zhou · Yulai Cong · Bo Chen
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #14
Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data
In Poster Session
Danilo Bzdok · Michael Eickenberg · Olivier Grisel · Bertrand Thirion · Gael Varoquaux
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #15
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
In Poster Session
Matthieu Courbariaux · Yoshua Bengio · Jean-Pierre David
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #16
Learning to Transduce with Unbounded Memory
In Poster Session
Edward Grefenstette · Karl Moritz Hermann · Mustafa Suleyman · Phil Blunsom
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #17
Spectral Representations for Convolutional Neural Networks
In Poster Session
Oren Rippel · Jasper Snoek · Ryan Adams
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #18
A Theory of Decision Making Under Dynamic Context
In Poster Session
Michael Shvartsman · Vaibhav Srivastava · Jonathan D Cohen
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #19
Bidirectional Recurrent Neural Networks as Generative Models
In Poster Session
Mathias Berglund · Tapani Raiko · Mikko Honkala · Leo Kärkkäinen · Akos Vetek · Juha T Karhunen
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #20
Recognizing retinal ganglion cells in the dark
In Poster Session
Emile Richard · Georges A Goetz · E.J. Chichilnisky
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #21
A Recurrent Latent Variable Model for Sequential Data
In Poster Session
Junyoung Chung · Kyle Kastner · Laurent Dinh · Kratarth Goel · Aaron Courville · Yoshua Bengio
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #22
Deep Knowledge Tracing
In Poster Session
Chris Piech · Jonathan Bassen · Jonathan Huang · Surya Ganguli · Mehran Sahami · Leonidas Guibas · Jascha Sohl-Dickstein
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #23
Deep Temporal Sigmoid Belief Networks for Sequence Modeling
In Poster Session
Zhe Gan · Chunyuan Li · Ricardo Henao · David Carlson · Lawrence Carin
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #24
Hidden Technical Debt in Machine Learning Systems
In Poster Session
D. Sculley · Gary Holt · Daniel Golovin · Eugene Davydov · Todd Phillips · Dietmar Ebner · Vinay Chaudhary · Michael Young · Jean-François Crespo · Dan Dennison
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #25
Statistical Model Criticism using Kernel Two Sample Tests
In Poster Session
James R Lloyd · Zoubin Ghahramani
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #26
Calibrated Structured Prediction
In Poster Session
Volodymyr Kuleshov · Percy Liang
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #27
A Bayesian Framework for Modeling Confidence in Perceptual Decision Making
In Poster Session
Koosha Khalvati · Rajesh PN Rao
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #28
Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation
In Poster Session
Scott Linderman · Matthew Johnson · Ryan Adams
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #29
Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models
In Poster Session
Michael Hughes · William Stephenson · Erik Sudderth
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #30
Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis
In Poster Session
Ehsan Adeli-Mosabbeb · Kim-Han Thung · Le An · Feng Shi · Dinggang Shen
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #31
Learning spatiotemporal trajectories from manifold-valued longitudinal data
In Poster Session
Jean-Baptiste SCHIRATTI · Stéphanie ALLASSONNIERE · Olivier Colliot · Stanley DURRLEMAN
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #32
Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks
In Poster Session
Minhyung Cho · Chandra Dhir · Jaehyung Lee
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #33
Scalable Inference for Gaussian Process Models with Black-Box Likelihoods
In Poster Session
Amir Dezfouli · Edwin Bonilla
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #34
Variational Dropout and the Local Reparameterization Trick
In Poster Session
Diederik Kingma · Tim Salimans · Max Welling
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #35
Infinite Factorial Dynamical Model
In Poster Session
Isabel Valera · Francisco Ruiz · Lennart Svensson · Fernando Perez-Cruz
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #36
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
In Poster Session
Shakir Mohamed · Danilo Jimenez Rezende
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #37
Copula variational inference
In Poster Session
Dustin Tran · David Blei · Edo M Airoldi
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #38
Fast Second Order Stochastic Backpropagation for Variational Inference
In Poster Session
Kai Fan · Ziteng Wang · Jeff Beck · James Kwok · Katherine Heller
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #39
Rethinking LDA: Moment Matching for Discrete ICA
In Poster Session
Anastasia Podosinnikova · Francis Bach · Simon Lacoste-Julien
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #40
Model-Based Relative Entropy Stochastic Search
In Poster Session
Abbas Abdolmaleki · Rudolf Lioutikov · Jan Peters · Nuno Lau · Luis Pualo Reis · Gerhard Neumann
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #41
Supervised Learning for Dynamical System Learning
In Poster Session
Ahmed Hefny · Carlton Downey · Geoffrey Gordon
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #42
Expectation Particle Belief Propagation
In Poster Session
Thibaut Lienart · Yee Whye Teh · Arnaud Doucet
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #43
Embedding Inference for Structured Multilabel Prediction
In Poster Session
Farzaneh Mirzazadeh · Siamak Ravanbakhsh · Nan Ding · Dale Schuurmans
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #44
Tractable Learning for Complex Probability Queries
In Poster Session
Jessa Bekker · Jesse Davis · Arthur Choi · Adnan Darwiche · Guy Van den Broeck
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #45
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
In Poster Session
Nihar Bhadresh Shah · Denny Zhou
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #46
Local Expectation Gradients for Black Box Variational Inference
In Poster Session
Michalis Titsias · Miguel Lázaro-Gredilla
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #47
Learning with a Wasserstein Loss
In Poster Session
Charlie Frogner · Chiyuan Zhang · Hossein Mobahi · Mauricio Araya · Tomaso Poggio
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #48
Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric
In Poster Session
Vivien Seguy · Marco Cuturi
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #49
Fast and Accurate Inference of Plackett–Luce Models
In Poster Session
Lucas Maystre · Matthias Grossglauser
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #50
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions
In Poster Session
Dominik Rothenhäusler · Christina Heinze-Deml · Jonas Peters · Nicolai Meinshausen
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #51
Learning with Relaxed Supervision
In Poster Session
Jacob Steinhardt · Percy Liang
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #52
M-Statistic for Kernel Change-Point Detection
In Poster Session
Shuang Li · Yao Xie · Hanjun Dai · Le Song
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #53
Fast Two-Sample Testing with Analytic Representations of Probability Measures
In Poster Session
Kacper P Chwialkowski · Aaditya Ramdas · Dino Sejdinovic · Arthur Gretton
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #54
Adversarial Prediction Games for Multivariate Losses
In Poster Session
Hong Wang · Wei Xing · Kaiser Asif · Brian Ziebart
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #55
Regressive Virtual Metric Learning
In Poster Session
Michaël Perrot · Amaury Habrard
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #56
Halting in Random Walk Kernels
In Poster Session
Mahito Sugiyama · Karsten Borgwardt
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #57
Rate-Agnostic (Causal) Structure Learning
In Poster Session
Sergey Plis · David Danks · Cynthia Freeman · Vince Calhoun
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #58
Online Prediction at the Limit of Zero Temperature
In Poster Session
Mark Herbster · Stephen Pasteris · Shaona Ghosh
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #59
Lifted Symmetry Detection and Breaking for MAP Inference
In Poster Session
Timothy Kopp · Parag Singla · Henry Kautz
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #60
Bandits with Unobserved Confounders: A Causal Approach
In Poster Session
Elias Bareinboim · Andrew Forney · Judea Pearl
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #61
Sample Complexity Bounds for Iterative Stochastic Policy Optimization
In Poster Session
Marin Kobilarov
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #62
Basis refinement strategies for linear value function approximation in MDPs
In Poster Session
Gheorghe Comanici · Doina Precup · Prakash Panangaden
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #63
Probabilistic Variational Bounds for Graphical Models
In Poster Session
Qiang Liu · John Fisher III · Alexander Ihler
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #64
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
In Poster Session
Changyou Chen · Nan Ding · Lawrence Carin
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #65
An Active Learning Framework using Sparse-Graph Codes for Sparse Polynomials and Graph Sketching
In Poster Session
Xiao Li · Kannan Ramchandran
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #66
Discrete Rényi Classifiers
In Poster Session
Meisam Razaviyayn · Farzan Farnia · David Tse
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #67
GAP Safe screening rules for sparse multi-task and multi-class models
In Poster Session
Eugene Ndiaye · Olivier Fercoq · Alexandre Gramfort · Joseph Salmon
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #68
Decomposition Bounds for Marginal MAP
In Poster Session
Wei Ping · Qiang Liu · Alexander Ihler
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #69
Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks
In Poster Session
Kevin Scaman · Rémi Lemonnier · Nicolas Vayatis
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #70
Estimating Mixture Models via Mixtures of Polynomials
In Poster Session
Sida Wang · Arun Tejasvi Chaganty · Percy Liang
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #71
Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso
In Poster Session
Eunho Yang · Aurelie Lozano
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #72
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation
In Poster Session
Alaa Saade · Florent Krzakala · Lenka Zdeborová
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #73
Robust PCA with compressed data
In Poster Session
Wooseok Ha · Rina Barber
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #74
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications
In Poster Session
Kai Wei · Rishabh K Iyer · Shengjie Wang · Wenruo Bai · Jeffrey A Bilmes
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #75
Subspace Clustering with Irrelevant Features via Robust Dantzig Selector
In Poster Session
Chao Qu · Huan Xu
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #76
A class of network models recoverable by spectral clustering
In Poster Session
Yali Wan · Marina Meila
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #77
Monotone k-Submodular Function Maximization with Size Constraints
In Poster Session
Naoto Ohsaka · Yuichi Yoshida
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #78
Smooth and Strong: MAP Inference with Linear Convergence
In Poster Session
Ofer Meshi · Mehrdad Mahdavi · Alex Schwing
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #79
StopWasting My Gradients: Practical SVRG
In Poster Session
Reza Babanezhad Harikandeh · Mohamed Osama Ahmed · Alim Virani · Mark Schmidt · Jakub Konečný · Scott Sallinen
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #80
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction
In Poster Session
Rakesh Shivanna · Bibaswan K Chatterjee · Raman Sankaran · Chiranjib Bhattacharyya · Francis Bach
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #81
Differentially Private Learning of Structured Discrete Distributions
In Poster Session
Ilias Diakonikolas · Moritz Hardt · Ludwig Schmidt
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #82
Robust Portfolio Optimization
In Poster Session
Huitong Qiu · Fang Han · Han Liu · Brian Caffo
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #83
Bayesian Optimization with Exponential Convergence
In Poster Session
Kenji Kawaguchi · Leslie Kaelbling · Tomás Lozano-Pérez
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #84
Fast Randomized Kernel Ridge Regression with Statistical Guarantees
In Poster Session
Ahmed Alaoui · Michael Mahoney
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #85
Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms
In Poster Session
Christopher M De Sa · Ce Zhang · Kunle Olukotun · Christopher Ré · Christopher Ré
[ PDF] 
Poster
Mon Dec 07 04:00 PM (PST) @ 210 C #86
Beyond Convexity: Stochastic Quasi-Convex Optimization
In Poster Session
Elad Hazan · Kfir Y. Levy · Shai Shalev-Shwartz
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #87
On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank-One Perturbations of Gaussian Tensors
In Poster Session
Andrea Montanari · Daniel Reichman · Ofer Zeitouni
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #88
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees
In Poster Session
Xinyang Yi · Constantine Caramanis
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #89
Black-box optimization of noisy functions with unknown smoothness
In Poster Session
Jean-Bastien Grill · Michal Valko · Remi Munos · Remi Munos
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #90
Combinatorial Cascading Bandits
In Poster Session
Branislav Kveton · Zheng Wen · Azin Ashkan · Csaba Szepesvari
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #91
Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing
In Poster Session
Tom Goldstein · Min Li · Xiaoming Yuan
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #92
Sum-of-Squares Lower Bounds for Sparse PCA
In Poster Session
Tengyu Ma · Avi Wigderson
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #93
Online Gradient Boosting
In Poster Session
Alina Beygelzimer · Elad Hazan · Satyen Kale · Haipeng Luo
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #94
Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices
In Poster Session
Martin Slawski · Ping Li · Matthias Hein
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #95
Convergence Analysis of Prediction Markets via Randomized Subspace Descent
In Poster Session
Rafael Frongillo · Mark Reid
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #96
Accelerated Proximal Gradient Methods for Nonconvex Programming
In Poster Session
Huan Li · Zhouchen Lin
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #97
Nearly Optimal Private LASSO
In Poster Session
Kunal Talwar · Abhradeep Guha Thakurta · Li Zhang
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #98
Minimax Time Series Prediction
In Poster Session
Wouter Koolen · Alan Malek · Peter Bartlett · Yasin Abbasi Yadkori
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #99
Communication Complexity of Distributed Convex Learning and Optimization
In Poster Session
Yossi Arjevani · Ohad Shamir
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #100
Explore no more: Improved high-probability regret bounds for non-stochastic bandits
In Poster Session
Gergely Neu
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #101
A Nonconvex Optimization Framework for Low Rank Matrix Estimation
In Poster Session
Tuo Zhao · Zhaoran Wang · Han Liu
[ PDF] 
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #102
Individual Planning in Infinite-Horizon Multiagent Settings: Inference, Structure and Scalability
In Poster Session
Xia Qu · Prashant Doshi
[ PDF]