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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #1
Deep Visual Analogy-Making
In Poster Session
Scott E Reed · Yi Zhang · Yuting Zhang · Honglak Lee
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #2
Where are they looking?
In Poster Session
Adria Recasens · Aditya Khosla · Carl Vondrick · Antonio Torralba
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #3
Spatial Transformer Networks
In Poster Session
Max Jaderberg · Karen Simonyan · Andrew Zisserman · koray kavukcuoglu
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #4
Training Very Deep Networks
In Poster Session
Rupesh K Srivastava · Klaus Greff · Jürgen Schmidhuber
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #5
Attention-Based Models for Speech Recognition
In Poster Session
Jan K Chorowski · Dzmitry Bahdanau · Dmitriy Serdyuk · Kyunghyun Cho · Yoshua Bengio
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #6
Deep Convolutional Inverse Graphics Network
In Poster Session
Tejas Kulkarni · William Whitney · Pushmeet Kohli · Josh Tenenbaum
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #7
End-To-End Memory Networks
In Poster Session
Sainbayar Sukhbaatar · arthur szlam · Jason Weston · Rob Fergus
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #8
Learning to Segment Object Candidates
In Poster Session
Pedro O. Pinheiro · Ronan Collobert · Piotr Dollar
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #9
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
In Poster Session
Armand Joulin · Tomas Mikolov
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #10
Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments
In Poster Session
Dane Corneil · Wulfram Gerstner
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #11
Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding
In Poster Session
Rie Johnson · Tong Zhang
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #12
The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors
In Poster Session
Dan Rosenbaum · Yair Weiss
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #13
Backpropagation for Energy-Efficient Neuromorphic Computing
In Poster Session
Steve Esser · Rathinakumar Appuswamy · Paul Merolla · John Arthur · Dharmendra S Modha
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #14
Learning Wake-Sleep Recurrent Attention Models
In Poster Session
Jimmy Ba · Russ Salakhutdinov · Roger Grosse · Brendan J Frey
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #15
On-the-Job Learning with Bayesian Decision Theory
In Poster Session
Keenon Werling · Arun Tejasvi Chaganty · Percy Liang · Christopher Manning
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #16
Color Constancy by Learning to Predict Chromaticity from Luminance
In Poster Session
Ayan Chakrabarti
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #17
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
In Poster Session
Seunghoon Hong · Hyeonwoo Noh · Bohyung Han
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #18
Action-Conditional Video Prediction using Deep Networks in Atari Games
In Poster Session
Junhyuk Oh · Xiaoxiao Guo · Honglak Lee · Richard L Lewis · Satinder Singh
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #19
Bayesian Active Model Selection with an Application to Automated Audiometry
In Poster Session
Jacob Gardner · Gustavo Malkomes · Roman Garnett · Kilian Weinberger · Dennis Barbour · John Cunningham
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #20
Efficient and Robust Automated Machine Learning
In Poster Session
Matthias Feurer · Aaron Klein · Katharina Eggensperger · Jost Springenberg · Manuel Blum · Frank Hutter
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #21
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure
In Poster Session
Peter Schulam · Suchi Saria
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #22
Pointer Networks
In Poster Session
Oriol Vinyals · Meire Fortunato · Navdeep Jaitly
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #23
A Reduced-Dimension fMRI Shared Response Model
In Poster Session
Cameron Po-Hsuan Chen · Janice Chen · Yaara Yeshurun · Uri Hasson · James Haxby · Peter J Ramadge
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #24
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets
In Poster Session
Pascal Vincent · Alexandre de Brébisson · Xavier Bouthillier
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #25
Precision-Recall-Gain Curves: PR Analysis Done Right
In Poster Session
Peter Flach · Meelis Kull
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #26
A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding
In Poster Session
Yuval Harel · Ron Meir · Manfred Opper
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #27
Equilibrated adaptive learning rates for non-convex optimization
In Poster Session
Yann Dauphin · Harm de Vries · Yoshua Bengio
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #28
NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning
In Poster Session
Kevin G Jamieson · Lalit Jain · Chris Fernandez · Nicholas J. Glattard · Rob Nowak
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #29
Gaussian Process Random Fields
In Poster Session
Dave Moore · Stuart J Russell
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #30
MCMC for Variationally Sparse Gaussian Processes
In Poster Session
James Hensman · Alexander Matthews · Maurizio Filippone · Zoubin Ghahramani
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #31
Streaming, Distributed Variational Inference for Bayesian Nonparametrics
In Poster Session
Trevor Campbell · Julian Straub · John Fisher III · Jonathan How
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #32
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial
In Poster Session
David I Inouye · Pradeep Ravikumar · Inderjit Dhillon
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #33
Human Memory Search as Initial-Visit Emitting Random Walk
In Poster Session
Kwang-Sung Jun · Jerry Zhu · Timothy T Rogers · Zhuoran Yang · Ming Yuan
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #34
Structured Transforms for Small-Footprint Deep Learning
In Poster Session
Vikas Sindhwani · Tara Sainath · Sanjiv Kumar
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #35
Spectral Learning of Large Structured HMMs for Comparative Epigenomics
In Poster Session
Chicheng Zhang · Jimin Song · Kamalika Chaudhuri · Kevin Chen
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #36
A Structural Smoothing Framework For Robust Graph Comparison
In Poster Session
Pinar Yanardag · S.V.N. Vishwanathan
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #37
Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference
In Poster Session
Ted Meeds · Max Welling
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #38
Inverse Reinforcement Learning with Locally Consistent Reward Functions
In Poster Session
Quoc Phong Nguyen · Bryan Kian Hsiang Low · Patrick Jaillet
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #39
Consistent Multilabel Classification
In Poster Session
Oluwasanmi Koyejo · Nagarajan Natarajan · Pradeep Ravikumar · Inderjit Dhillon
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #40
Is Approval Voting Optimal Given Approval Votes?
In Poster Session
Ariel Procaccia · Nisarg Shah
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #41
A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks
In Poster Session
Cengiz Pehlevan · Dmitri Chklovskii
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #42
Efficient Non-greedy Optimization of Decision Trees
In Poster Session
Mohammad Norouzi · Maxwell Collins · Matthew A Johnson · David Fleet · Pushmeet Kohli
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #43
Statistical Topological Data Analysis - A Kernel Perspective
In Poster Session
Roland Kwitt · Stefan Huber · Marc Niethammer · Weili Lin · Ulrich Bauer
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #44
Variational Consensus Monte Carlo
In Poster Session
Maxim Rabinovich · Elaine Angelino · Michael Jordan
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #45
Softstar: Heuristic-Guided Probabilistic Inference
In Poster Session
Mathew Monfort · Brenden M Lake · Brenden Lake · Brian Ziebart · Patrick Lucey · Josh Tenenbaum
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #46
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families
In Poster Session
Heiko Strathmann · Dino Sejdinovic · Samuel Livingstone · Zoltan Szabo · Arthur Gretton
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #47
A Complete Recipe for Stochastic Gradient MCMC
In Poster Session
Yi-An Ma · Tianqi Chen · Emily Fox
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #48
Barrier Frank-Wolfe for Marginal Inference
In Poster Session
Rahul G Krishnan · Simon Lacoste-Julien · David Sontag
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #49
Practical and Optimal LSH for Angular Distance
In Poster Session
Alexandr Andoni · Piotr Indyk · Thijs Laarhoven · Ilya Razenshteyn · Ludwig Schmidt
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #50
Principal Differences Analysis: Interpretable Characterization of Differences between Distributions
In Poster Session
Jonas Mueller · Tommi Jaakkola
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #51
Kullback-Leibler Proximal Variational Inference
In Poster Session
Mohammad Emtiyaz Khan · Pierre Baque · François Fleuret · Pascal Fua
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #52
Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring
In Poster Session
Gunwoong Park · Garvesh Raskutti
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #53
Streaming Min-max Hypergraph Partitioning
In Poster Session
Dan Alistarh · Jennifer Iglesias · Milan Vojnovic
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #54
Efficient Output Kernel Learning for Multiple Tasks
In Poster Session
Pratik Kumar Jawanpuria · Maksim Lapin · Matthias Hein · Bernt Schiele
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #55
Gradient Estimation Using Stochastic Computation Graphs
In Poster Session
John Schulman · Nicolas Heess · Theophane Weber · Pieter Abbeel
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #56
Lifted Inference Rules With Constraints
In Poster Session
Happy Mittal · Anuj Mahajan · Vibhav Gogate · Parag Singla
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #57
Sparse PCA via Bipartite Matchings
In Poster Session
Megasthenis Asteris · Dimitris Papailiopoulos · Anastasios Kyrillidis · Alex Dimakis
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #58
Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces
In Poster Session
Takashi Takenouchi · Takafumi Kanamori
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #59
Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization
In Poster Session
Fredrik D Johansson · Ankani Chattoraj · Chiranjib Bhattacharyya · Devdatt Dubhashi
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #60
Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach
In Poster Session
Balázs Szörényi · Róbert Busa-Fekete · Adil Paul · Eyke Hüllermeier
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #61
Segregated Graphs and Marginals of Chain Graph Models
In Poster Session
Ilya Shpitser
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #62
Approximating Sparse PCA from Incomplete Data
In Poster Session
ABHISEK KUNDU · Petros Drineas · Malik Magdon-Ismail
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #63
Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection
In Poster Session
Jie Wang · Jieping Ye
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #64
Recovering Communities in the General Stochastic Block Model Without Knowing the Parameters
In Poster Session
Emmanuel Abbe · Colin Sandon
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #65
Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets
In Poster Session
Justin Domke
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #66
Testing Closeness With Unequal Sized Samples
In Poster Session
Bhaswar Bhattacharya · Gregory Valiant
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #67
Learning Causal Graphs with Small Interventions
In Poster Session
Karthikeyan Shanmugam · Murat Kocaoglu · Alex Dimakis · Sriram Vishwanath
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #68
Regret-Based Pruning in Extensive-Form Games
In Poster Session
Noam Brown · Tuomas Sandholm
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #69
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations
In Poster Session
Kirthevasan Kandasamy · Akshay Krishnamurthy · Barnabas Poczos · Larry Wasserman · james m robins
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #70
Bounding errors of Expectation-Propagation
In Poster Session
Guillaume Dehaene · Simon Barthelmé
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #71
Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents
In Poster Session
Mithun Chakraborty · Sanmay Das
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #72
Local Smoothness in Variance Reduced Optimization
In Poster Session
Daniel Vainsencher · Han Liu · Tong Zhang
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #73
High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality
In Poster Session
Zhaoran Wang · Quanquan Gu · Yang Ning · Han Liu
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #74
Associative Memory via a Sparse Recovery Model
In Poster Session
Arya Mazumdar · Ankit Singh Rawat
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #75
Matrix Completion Under Monotonic Single Index Models
In Poster Session
Ravi Ganti · Laura Balzano · Rebecca Willett
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #76
Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent
In Poster Session
Ian En-Hsu Yen · Kai Zhong · Cho-Jui Hsieh · Pradeep Ravikumar · Inderjit Dhillon
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #77
Convergence rates of sub-sampled Newton methods
In Poster Session
Murat Erdogdu · Andrea Montanari
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #78
Variance Reduced Stochastic Gradient Descent with Neighbors
In Poster Session
Thomas Hofmann · Aurelien Lucchi · Simon Lacoste-Julien · Brian McWilliams
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #79
Non-convex Statistical Optimization for Sparse Tensor Graphical Model
In Poster Session
Wei Sun · Zhaoran Wang · Han Liu · Guang Cheng
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #80
Convergence Rates of Active Learning for Maximum Likelihood Estimation
In Poster Session
Kamalika Chaudhuri · Sham Kakade · Praneeth Netrapalli · Sujay Sanghavi
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #81
When are Kalman-Filter Restless Bandits Indexable?
In Poster Session
Christopher R Dance · Tomi Silander
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #82
Policy Gradient for Coherent Risk Measures
In Poster Session
Aviv Tamar · Yinlam Chow · Mohammad Ghavamzadeh · Shie Mannor
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #83
A Dual Augmented Block Minimization Framework for Learning with Limited Memory
In Poster Session
Ian En-Hsu Yen · Shan-Wei Lin · Shou-De Lin
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #84
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
In Poster Session
Simon Lacoste-Julien · Martin Jaggi
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #85
Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling
In Poster Session
Zheng Qu · Peter Richtarik · Tong Zhang
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #86
A Generalization of Submodular Cover via the Diminishing Return Property on the Integer Lattice
In Poster Session
Tasuku Soma · Yuichi Yoshida
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #87
A Universal Catalyst for First-Order Optimization
In Poster Session
Hongzhou Lin · Julien Mairal · Zaid Harchaoui
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #88
Fast and Memory Optimal Low-Rank Matrix Approximation
In Poster Session
Se-Young Yun · marc lelarge · Alexandre Proutiere
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #89
Stochastic Online Greedy Learning with Semi-bandit Feedbacks
In Poster Session
Tian Lin · Jian Li · Wei Chen
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #90
Linear Multi-Resource Allocation with Semi-Bandit Feedback
In Poster Session
Tor Lattimore · Yacov Crammer · Csaba Szepesvari
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #91
Exactness of Approximate MAP Inference in Continuous MRFs
In Poster Session
Nicholas Ruozzi
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #92
On the consistency theory of high dimensional variable screening
In Poster Session
Xiangyu Wang · Chenlei Leng · David B Dunson
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #93
Finite-Time Analysis of Projected Langevin Monte Carlo
In Poster Session
Sebastien Bubeck · Ronen Eldan · Joseph Lehec
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #94
Optimal Testing for Properties of Distributions
In Poster Session
Jayadev Acharya · Constantinos Daskalakis · Gautam Kamath
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #95
Learning Theory and Algorithms for Forecasting Non-stationary Time Series
In Poster Session
Vitaly Kuznetsov · Mehryar Mohri
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #96
Accelerated Mirror Descent in Continuous and Discrete Time
In Poster Session
Walid Krichene · Alexandre Bayen · Peter Bartlett
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #97
Information-theoretic lower bounds for convex optimization with erroneous oracles
In Poster Session
Yaron Singer · Jan Vondrak
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #98
Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff
In Poster Session
Ofer Dekel · Ronen Eldan · Tomer Koren
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #99
Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs
In Poster Session
Vidyashankar Sivakumar · Arindam Banerjee · Pradeep Ravikumar
[ PDF] 
Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #100
Adaptive Online Learning
In Poster Session
Dylan Foster · Alexander Rakhlin · Karthik Sridharan
[ PDF]