NeurIPS 2010

292 papers

Kernel Descriptors for Visual Recognition

Liefeng Bo, Xiaofeng Ren, Dieter Fox

Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks

Atsushi Miyamae, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi

Sparse Instrumental Variables (SPIV) for Genome-Wide Studies

Paul Mckeigue, Jon Krohn, Amos J. Storkey, Felix V. Agakov

Exact learning curves for Gaussian process regression on large random graphs

Matthew Urry, Peter Sollich

Dynamic Infinite Relational Model for Time-varying Relational Data Analysis

Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda, Joshua B. Tenenbaum

Learning to localise sounds with spiking neural networks

Dan Goodman, Romain Brette

Discriminative Clustering by Regularized Information Maximization

Andreas Krause, Pietro Perona, Ryan G. Gomes

Joint Analysis of Time-Evolving Binary Matrices and Associated Documents

Eric Wang, Dehong Liu, Jorge Silva, Lawrence Carin, David B. Dunson

Random Projection Trees Revisited

Aman Dhesi, Purushottam Kar

Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations

Danial Lashkari, Ramesh Sridharan, Polina Golland

Adaptive Multi-Task Lasso: with Application to eQTL Detection

Seunghak Lee, Jun Zhu, Eric P. Xing

Switched Latent Force Models for Movement Segmentation

Mauricio Alvarez, Jan R. Peters, Neil D. Lawrence, Bernhard Schölkopf

Large Margin Learning of Upstream Scene Understanding Models

Jun Zhu, Li-jia Li, Li Fei-fei, Eric P. Xing

Non-Stochastic Bandit Slate Problems

Satyen Kale, Lev Reyzin, Robert E. Schapire

Over-complete representations on recurrent neural networks can support persistent percepts

Shaul Druckmann, Dmitri B. Chklovskii

Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures

Kamiya Motwani, Nagesh Adluru, Chris Hinrichs, Andrew Alexander, Vikas Singh

Multi-View Active Learning in the Non-Realizable Case

Wei Wang, Zhi-Hua Zhou

Functional Geometry Alignment and Localization of Brain Areas

Georg Langs, Yanmei Tie, Laura Rigolo, Alexandra Golby, Polina Golland

On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient

Tang Jie, Pieter Abbeel

Identifying Dendritic Processing

Aurel A. Lazar, Yevgeniy Slutskiy

Predictive State Temporal Difference Learning

Byron Boots, Geoffrey J. Gordon

Lifted Inference Seen from the Other Side : The Tractable Features

Abhay Jha, Vibhav Gogate, Alexandra Meliou, Dan Suciu

More data means less inference: A pseudo-max approach to structured learning

David Sontag, Ofer Meshi, Amir Globerson, Tommi S. Jaakkola

Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models

Han Liu, Kathryn Roeder, Larry Wasserman

Fractionally Predictive Spiking Neurons

Jaldert Rombouts, Sander M. Bohte

Group Sparse Coding with a Laplacian Scale Mixture Prior

Pierre Garrigues, Bruno A. Olshausen

Learning Multiple Tasks using Manifold Regularization

Arvind Agarwal, Samuel Gerber, Hal Daume

Phoneme Recognition with Large Hierarchical Reservoirs

Fabian Triefenbach, Azarakhsh Jalalvand, Benjamin Schrauwen, Jean-pierre Martens

New Adaptive Algorithms for Online Classification

Francesco Orabona, Koby Crammer

Decoding Ipsilateral Finger Movements from ECoG Signals in Humans

Yuzong Liu, Mohit Sharma, Charles Gaona, Jonathan Breshears, Jarod Roland

Beyond Actions: Discriminative Models for Contextual Group Activities

Tian Lan, Yang Wang, Weilong Yang, Greg Mori

Evidence-Specific Structures for Rich Tractable CRFs

Anton Chechetka, Carlos Guestrin

Copula Bayesian Networks

Gal Elidan

Variational bounds for mixed-data factor analysis

Mohammad Emtiyaz Khan, Guillaume Bouchard, Kevin P. Murphy, Benjamin M. Marlin

Online Learning in The Manifold of Low-Rank Matrices

Uri Shalit, Daphna Weinshall, Gal Chechik

(RF)^2 -- Random Forest Random Field

Nadia Payet, Sinisa Todorovic

Evaluation of Rarity of Fingerprints in Forensics

Chang Su, Sargur Srihari

Trading off Mistakes and Don't-Know Predictions

Amin Sayedi, Morteza Zadimoghaddam, Avrim Blum

Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories

George Konidaris, Scott Kuindersma, Roderic Grupen, Andrew G. Barto

Sparse Inverse Covariance Selection via Alternating Linearization Methods

Katya Scheinberg, Shiqian Ma, Donald Goldfarb

A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model

Sebastian Millner, Andreas Grübl, Karlheinz Meier, Johannes Schemmel, Marc-olivier Schwartz

Link Discovery using Graph Feature Tracking

Emile Richard, Nicolas Baskiotis, Theodoros Evgeniou, Nicolas Vayatis

Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting

Chris Barber, Joseph Bockhorst, Paul Roebber

Feature Transitions with Saccadic Search: Size, Color, and Orientation Are Not Alike

Stella X. Yu

b-Bit Minwise Hashing for Estimating Three-Way Similarities

Ping Li, Arnd Konig, Wenhao Gui

Structured Determinantal Point Processes

Alex Kulesza, Ben Taskar

Probabilistic Belief Revision with Structural Constraints

Peter Jones, Venkatesh Saligrama, Sanjoy Mitter

Near-Optimal Bayesian Active Learning with Noisy Observations

Daniel Golovin, Andreas Krause, Debajyoti Ray

Size Matters: Metric Visual Search Constraints from Monocular Metadata

Mario Fritz, Kate Saenko, Trevor Darrell

Identifying graph-structured activation patterns in networks

James Sharpnack, Aarti Singh

MAP Estimation for Graphical Models by Likelihood Maximization

Akshat Kumar, Shlomo Zilberstein

Empirical Risk Minimization with Approximations of Probabilistic Grammars

Noah A. Smith, Shay B. Cohen

Distributionally Robust Markov Decision Processes

Huan Xu, Shie Mannor

Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics

Kanaka Rajan, L Abbott, Haim Sompolinsky

Supervised Clustering

Pranjal Awasthi, Reza B. Zadeh

Universal Consistency of Multi-Class Support Vector Classification

Tobias Glasmachers

Reward Design via Online Gradient Ascent

Jonathan Sorg, Richard L. Lewis, Satinder P. Singh

Using body-anchored priors for identifying actions in single images

Leonid Karlinsky, Michael Dinerstein, Shimon Ullman

Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification

Li-jia Li, Hao Su, Li Fei-fei, Eric P. Xing

Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains

Martha White, Adam White

Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks

Kentaro Katahira, Kazuo Okanoya, Masato Okada

Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation

Mathieu Salzmann, Raquel Urtasun

Boosting Classifier Cascades

Nuno Vasconcelos, Mohammad J. Saberian

The Multidimensional Wisdom of Crowds

Peter Welinder, Steve Branson, Pietro Perona, Serge J. Belongie

Short-term memory in neuronal networks through dynamical compressed sensing

Surya Ganguli, Haim Sompolinsky

Convex Multiple-Instance Learning by Estimating Likelihood Ratio

Fuxin Li, Cristian Sminchisescu

Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers

Manas Pathak, Shantanu Rane, Bhiksha Raj

Getting lost in space: Large sample analysis of the resistance distance

Ulrike V. Luxburg, Agnes Radl, Matthias Hein

Why are some word orders more common than others? A uniform information density account

Luke Maurits, Dan Navarro, Amy Perfors

Switching state space model for simultaneously estimating state transitions and nonstationary firing rates

Ken Takiyama, Masato Okada

Repeated Games against Budgeted Adversaries

Jacob D. Abernethy, Manfred K. Warmuth

Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization

Feiping Nie, Heng Huang, Xiao Cai, Chris H. Ding

Generalized roof duality and bisubmodular functions

Vladimir Kolmogorov

Double Q-learning

Hado V. Hasselt

Guaranteed Rank Minimization via Singular Value Projection

Prateek Jain, Raghu Meka, Inderjit S Dhillon, Inderjit S. Dhillon

Evaluating neuronal codes for inference using Fisher information

Haefner Ralf, Matthias Bethge

Large Margin Multi-Task Metric Learning

Shibin Parameswaran, Kilian Q. Weinberger

A Computational Decision Theory for Interactive Assistants

Alan Fern, Prasad Tadepalli

Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces

Abhinav Gupta, Martial Hebert, Takeo Kanade, David M. Blei

Extended Bayesian Information Criteria for Gaussian Graphical Models

Rina Foygel, Mathias Drton

Transduction with Matrix Completion: Three Birds with One Stone

Andrew Goldberg, Ben Recht, Junming Xu, Robert Nowak, Xiaojin Zhu

Deep Coding Network

Yuanqing Lin, Tong Zhang, Shenghuo Zhu, Kai Yu

Label Embedding Trees for Large Multi-Class Tasks

Samy Bengio, Jason Weston, David Grangier

Learning Kernels with Radiuses of Minimum Enclosing Balls

Kun Gai, Guangyun Chen, Changshui Zhang, Chang-shui Zhang

Decomposing Isotonic Regression for Efficiently Solving Large Problems

Ronny Luss, Saharon Rosset, Moni Shahar

Tiled convolutional neural networks

Jiquan Ngiam, Zhenghao Chen, Daniel Chia, Pang W. Koh, Andrew Y. Ng

On Herding and the Perceptron Cycling Theorem

Andrew Gelfand, Yutian Chen, Laurens Maaten, Max Welling

Linear readout from a neural population with partial correlation data

Adrien Wohrer, Ranulfo Romo, Christian K. Machens

Relaxed Clipping: A Global Training Method for Robust Regression and Classification

Min Yang, Linli Xu, Martha White, Dale Schuurmans, Yaoliang Yu

Generative Local Metric Learning for Nearest Neighbor Classification

Yung-kyun Noh, Byoung-tak Zhang, Daniel D. Lee

A Dirty Model for Multi-task Learning

Ali Jalali, Sujay Sanghavi, Chao Ruan, Pradeep K Ravikumar, Pradeep K. Ravikumar

Agnostic Active Learning Without Constraints

Alina Beygelzimer, Daniel J. Hsu, John Langford, Tong Zhang