Skip to yearly menu bar
Skip to main content
Main Navigation
NeurIPS
Help/FAQ
Contact NeurIPS
Code of Ethics
Code of Conduct
Create Profile
Journal To Conference Track
Diversity & Inclusion
Proceedings
Future Meetings
Press
Exhibitor Information
Privacy Policy
Downloads
My Stuff
Login
Select Year: (2008)
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
Dates
Calls
Call for Papers
Call for Workshops
Call for Demonstrations
Program Books
Conference
Workshop
Schedule
Organization
Board
Organizers
Awards
(90 events)
Timezone:
Show all
Back
Filter
Day
Toggle Poster Visibility
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Theory of matching pursuit
In
Posters
Zakria Hussain · John Shawe-Taylor
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Estimating vector fields using sparse basis field expansions
In
Posters
Stefan Haufe · Vadim Nikulin · Andreas Ziehe · Klaus-Robert Müller · Guido Nolte
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Implicit Mixtures of Restricted Boltzmann Machines
In
Posters
Vinod Nair · Geoffrey E Hinton
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
In
Posters
Ben Calderhead · Mark A Girolami · Neil D Lawrence
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing
In
Posters
Moritz Grosse-Wentrup
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Nonparametric Bayesian Sparse Hierarchical Factor Modeling and Regression
In
Posters
Piyush Rai · Hal Daumé III
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Skill Characterization Based on Betweenness
In
Posters
Özgür Şimşek · Andrew G Barto
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Learning Taxonomies by Dependence Maximization
In
Posters
Matthew B Blaschko · Arthur Gretton
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
On-Line Prediction on Large Diameter Graphs
In
Posters
Mark Herbster · Massimiliano Pontil · Guy Lever
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Transfer Learning by Distribution Matching for Targeted Advertising
In
Posters
Steffen Bickel · Christoph Sawade · Tobias Scheffer
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \ell_1-regularizedMLE
In
Posters
Pradeep Ravikumar · Garvesh Raskutti · Martin J Wainwright · Bin Yu
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering
In
Posters
Dilan Gorur · Yee Whye Teh
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Privacy-preserving logistic regression
In
Posters
Kamalika Chaudhuri · Claire Monteleoni
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Bio-inspired Real Time Sensory Map Realignment in a Robotic Barn Owl
In
Posters
Juan Huo · Zhijun Yang · Alan F Murray
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Rademacher Complexity Bounds for Non-I.I.D. Processes
In
Posters
Mehryar Mohri · Afshin Rostamizadeh
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Risk Bounds for Randomized Sample Compressed Classifiers
In
Posters
Mohak Shah
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Counting Solution Clusters Using Belief Propagation
In
Posters
Lukas Kroc · Ashish Sabharwal · Bart Selman
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
SDL: Supervised Dictionary Learning
In
Posters
Julien Mairal · Francis Bach · Jean A Ponce · Guillermo Sapiro · Andrew Zisserman
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Supervised Exponential Family Principal Component Analysis via Convex Optimizatio
In
Posters
Yuhong Guo
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
(Not) Sparse Coding
In
Posters
Drew Bagnell · David M Bradley
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Regularized Learning with Networks of Features
In
Posters
Ted Sandler · John Blitzer · Partha P Talukdar · Lyle Ungar
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Unsupervised Bayesian Parameter Estimation for Probabilistic Grammars
In
Posters
Shay Cohen · Kevin Gimpel · Noah A Smith
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Spectral Hashing
In
Posters
Yair Weiss · Antonio Torralba · Rob Fergus
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Regularized Co-Clustering with Dual Supervision
In
Posters
Vikas Sindhwani · Jianying Hu · Aleksandra Mojsilovic
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Clustering via LP-based Stabilities
In
Posters
Nikos Komodakis · Nikos Paragios · Georgios Tziritas
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Designing neurophysiology experiments to optimally constrain receptive field models along parametric
In
Posters
Jeremy Lewi · Robert Butera · Liam M Paninski
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Competing RBM density models for classification of fMRI images
In
Posters
Tanya Schmah · Geoffrey E Hinton · Richard Zemel
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Bounding Performance Loss in Approximate MDP Homomorphisms
In
Posters
Doina Precup · Jonathan Taylor Taylor · Prakash Panangaden
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Estimation of Information Theoretic Measures for Continuous Random Variables
In
Posters
Fernando Perez-Cruz
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Kernel Change-point Analysis
In
Posters
Zaid Harchaoui · Francis Bach · Eric Moulines
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Overlaying classifiers: a practical approach for optimal ranking
In
Posters
Stephan Clémençon · Nicolas Vayatis
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Modeling human function learning with Gaussian processes
In
Posters
Tom Griffiths · Chris Lucas · Joseph Jay Williams · Michael Kalish
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Particle Filter-based Policy Gradient in POMDPs
In
Posters
Pierre-Arnaud Coquelin · Romain Deguest · Remi Munos
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Adaptive Template Matching with Shift-Invariant Semi-NMF
In
Posters
Jonathan Le Roux · Alain de Cheveigné · Lucas C Parra
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Predictive Indexing for Fast Search
In
Posters
Sharad Goel · John Langford · Alexander L Strehl
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Cell Assemblies in Large Sparse Inhibitory Networks of Biologically Realistic Spiking Neurons
In
Posters
Adam Ponzi · Jeff Wickens
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Biasing Approximate Dynamic Programming with a Lower Discount Factor
In
Posters
Marek Petrik · Bruno Scherrer
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Diffeomorphic Dimensionality Reduction
In
Posters
Christian Walder · Bernhard Schölkopf
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Generative and Discriminative Learning with Unknown Labeling Bias
In
Posters
Miroslav Dudik · Steven Phillips
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Mortal Multi-Armed Bandits
In
Posters
Filip Radlinski · Deepayan Chakrabarti · Ravi Kumar · Eli Upfal
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning
In
Posters
Chunhua Shen · Alan Welsh · Lei Wang
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
An empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
In
Posters
Gabriele B Schweikert · Christian Widmer · Bernhard Schölkopf · Gunnar Rätsch
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets
In
Posters
Jean-Philippe Pellet · Andre Elisseeff
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Multi-stage Convex Relaxation for Learning with Sparse Regularization
In
Posters
Tong Zhang
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization
In
Posters
Sham M Kakade · Karthik Sridharan · Ambuj Tewari
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Convergence and Rate of Convergence of A Manifold-Based Dimension Reduction
In
Posters
Andrew Smith · Xiaoming Huo · Hongyuan Zha
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Non-stationary dynamic Bayesian networks
In
Posters
Joshua W Robinson · Alexander J Hartemink
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation
In
Posters
Dotan Di Castro · Dima Volkinshtein · Ron Meir
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
A Convergent O(n) Temporal-difference Algorithm for Off-policy Learning with Linear Function Approxi
In
Posters
Richard Sutton · Csaba Szepesvari · Hamid R Maei
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
LOOPS: Localizing Object Outlines using Probabilistic Shape
In
Posters
Geremy Heitz · Gal Elidan · Benjamin D Packer · Daphne Koller
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
MDPs with Non-Deterministic Policies
In
Posters
Mahdi Milani Fard · Joelle Pineau
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
On the equivalence between TD learning and differential Hebbian learning using a local third factor
In
Posters
Christoph Kolodziejski · Bernd Porr · Minija Tamosiunaite · Florentin Woergoetter
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Short-Term Depression in VLSI Stochastic Synapse
In
Posters
Peng Xu · Timothy K Horiuchi · Pamela A Abshire
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Structured ranking learning using cumulative distribution networks
In
Posters
Jim C Huang · Brendan J Frey
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Hierarchical Fisher Kernels for Longitudinal Data
In
Posters
Zhengdong Lu · Todd K Leen · Jeffrey Kaye
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Multiscale Random Fields with Application to Contour Grouping
In
Posters
Longin Jan J Latecki · ChengEn Lu · Marc J Sobel · Xiang Bai
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method
In
Posters
Dongryeol Lee · Alexander Gray
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
In
Posters
Byron M Yu · John P Cunningham · Gopal Santhanam · Stephen I Ryu · Krishna V Shenoy · Maneesh Sahani
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Integrating Locally Learned Causal Structures with Overlapping Variables
In
Posters
Robert E Tillman · David Danks · Clark Glymour
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Sparsity of SVMs that use the epsilon-insensitive loss
In
Posters
Ingo Steinwart · Andreas Christmann
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Temporal Dynamics of Cognitive Control
In
Posters
Jeremy Reynolds · Michael Mozer
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Local Gaussian Process Regression for Real Time Online Model Learning
In
Posters
Duy Nguyen-Tuong · Matthias Seeger · Jan Peters
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
An Homotopy Algorithm for the Lasso with Online Observations
In
Posters
Pierre Garrigues · Laurent El Ghaoui
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
An ideal observer model of infant object perception
In
Posters
Charles Kemp · Fei Xu
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Self-organization using dynamical synapses
In
Posters
Vicenç Gómez · Andreas Kaltenbrunner · Vicente López · Hilbert J Kappen
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection
In
Posters
Takafumi Kanamori · Shohei Hido · Masashi Sugiyama
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Robust Near-Isometric Matching via Structured Learning of Graphical Models
In
Posters
Julian J McAuley · Tiberio Caetano · Alexander Smola
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Bayesian Model of Behaviour in Economic Games
In
Posters
Debajyoti Ray · Brooks King-Casas · P. Read Montague · Peter Dayan
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Tracking Changing Stimuli in Continuous Attractor Neural Networks
In
Posters
Chi Chung Fung · K. Y. Michael Wong · Si Wu
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Hebbian Learning of Bayes Optimal Decisions
In
Posters
Bernhard Nessler · Michael Pfeiffer · Wolfgang Maass
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Goal-directed decision making in prefrontal cortex: a computational framework
In
Posters
Matthew Botvinick · James An
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Influence of graph construction on graph-based clustering measures
In
Posters
Markus M Maier · Ulrike von Luxburg · Matthias Hein
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Measures of Clustering Quality: A Working Set of Axioms for Clustering
In
Posters
Shai Ben-David · Margareta Ackerman
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
One sketch for all: Theory and Application of Conditional Random Sampling
In
Posters
Ping Li · Kenneth W Church · Trevor Hastie
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models
In
Posters
Deepak Agarwal · Liang Zhang
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization
In
Posters
Liu Yang · Rong Jin · Rahul Sukthankar
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Gates
In
Posters
Tom Minka · John Winn
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Deep Learning with Kernel Regularization for Visual Recognition
In
Posters
Kai Yu · Wei Xu · Yihong Gong
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Spectral Clustering with Perturbed Data
In
Posters
Ling Huang · Donghui Yan · Michael Jordan · Nina Taft
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Unsupervised Learning of Visual Sense Models for Polysemous Words
In
Posters
Kate Saenko · Trevor Darrell
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
A "Shape Aware" Model for semi-supervised Learning of Objects and its Context
In
Posters
Abhinav Gupta · Jianbo Shi · Larry Davis
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Evaluating probabilities under high-dimensional latent variable models
In
Posters
Iain Murray · Russ Salakhutdinov
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
On the Reliability of Clustering Stability in the Large Sample Regime
In
Posters
Ohad Shamir · Naftali Tishby
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Efficient Inference in Phylogenetic InDel Trees
In
Posters
Alexandre Bouchard-Côté · Michael Jordan · Dan Klein
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
In
Posters
Indraneel Mukherjee · David Blei
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Syntactic Topic Models
In
Posters
Jordan Boyd-Graber · David Blei
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Large Margin Taxonomy Embedding for Document Categorization
In
Posters
Kilian Q Weinberger · Olivier Chapelle
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Analyzing the Monotonic Feature Abstraction for Text Classification
In
Posters
Doug Downey · Oren Etzioni
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Cyclizing Clusters via Zeta Function of a Graph
In
Posters
Deli Zhao · Xiaoou Tang
[
PDF
]
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Hierarchical Conditional Random Fields for Recursive Sequential Data
In
Posters
The Truyen Tran · Dinh Q Phung · Hung H Bui · Svetha Venkatesh
[
PDF
]
Successful Page Load
NeurIPS uses cookies for essential functions only. We do not sell your personal information.
Our Privacy Policy »
Accept Cookies
