NIPS 2013 has ended

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NIPS 2013

10:10am PST

Adaptive Anonymity via $b$-Matching Harvey's Convention Center Floor, CC

10:14am PST

Exact and Stable Recovery of Pairwise Interaction Tensors Harvey's Convention Center Floor, CC

10:18am PST

Matrix factorization with binary components Harvey's Convention Center Floor, CC

10:22am PST

On the Complexity and Approximation of Binary Evidence in Lifted Inference Harvey's Convention Center Floor, CC

10:26am PST

Unsupervised Spectral Learning of Finite State Transducers Harvey's Convention Center Floor, CC

11:40am PST

Provable Subspace Clustering: When LRR meets SSC Harvey's Convention Center Floor, CC

11:44am PST

Matrix Completion From any Given Set of Observations Harvey's Convention Center Floor, CC

11:48am PST

Convex Two-Layer Modeling Harvey's Convention Center Floor, CC

11:52am PST

Reconciling 'priors'' & 'priors' without prejudice? Harvey's Convention Center Floor, CC

11:56am PST

Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model Harvey's Convention Center Floor, CC

12:00pm PST

Structured Learning via Logistic Regression Harvey's Convention Center Floor, CC

12:04pm PST

Graphical Models for Inference with Missing Data Harvey's Convention Center Floor, CC

3:30pm PST

Bayesian entropy estimation for binary spike train data using parametric prior knowledge Harvey's Convention Center Floor, CC

3:34pm PST

Inferring neural population dynamics from multiple partial recordings of the same neural circuit Harvey's Convention Center Floor, CC

3:38pm PST

Noise-Enhanced Associative Memories Harvey's Convention Center Floor, CC

3:42pm PST

Demixing odors - fast inference in olfaction Harvey's Convention Center Floor, CC

3:46pm PST

Recurrent linear models of simultaneously-recorded neural populations Harvey's Convention Center Floor, CC

5:40pm PST

Dropout Training as Adaptive Regularization Harvey's Convention Center Floor, CC

5:44pm PST

Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex Harvey's Convention Center Floor, CC

5:48pm PST

Restricting exchangeable nonparametric distributions Harvey's Convention Center Floor, CC

5:52pm PST

Approximate inference in latent Gaussian-Markov models from continuous time observations Harvey's Convention Center Floor, CC

5:56pm PST

Bayesian inference as iterated random functions with applications to sequential inference in graphical models Harvey's Convention Center Floor, CC

10:10am PST

Linear decision rule as aspiration for simple decision heuristics Harvey's Convention Center Floor, CC

10:14am PST

Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? Harvey's Convention Center Floor, CC

10:18am PST

Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits Harvey's Convention Center Floor, CC

10:22am PST

Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis Harvey's Convention Center Floor, CC

10:26am PST

Lasso Screening Rules via Dual Polytope Projection Harvey's Convention Center Floor, CC

11:40am PST

Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space Harvey's Convention Center Floor, CC

11:44am PST

Learning Kernels Using Local Rademacher Complexity Harvey's Convention Center Floor, CC

11:48am PST

Inverse Density as an Inverse Problem: the Fredholm Equation Approach Harvey's Convention Center Floor, CC

11:52am PST

Regression-tree Tuning in a Streaming Setting Harvey's Convention Center Floor, CC

11:56am PST

Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) Harvey's Convention Center Floor, CC

3:30pm PST

PAC-Bayes-Empirical-Bernstein Inequality Harvey's Convention Center Floor, CC

3:34pm PST

Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima Harvey's Convention Center Floor, CC

3:38pm PST

More data speeds up training time in learning halfspaces over sparse vectors Harvey's Convention Center Floor, CC

3:42pm PST

Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses Harvey's Convention Center Floor, CC

3:46pm PST

On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation Harvey's Convention Center Floor, CC

5:40pm PST

How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal Harvey's Convention Center Floor, CC

5:44pm PST

Small-Variance Asymptotics for Hidden Markov Models Harvey's Convention Center Floor, CC

5:48pm PST

The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited Harvey's Convention Center Floor, CC

5:52pm PST

Using multiple samples to learn mixture models Harvey's Convention Center Floor, CC

5:56pm PST

Approximate Inference in Continuous Determinantal Processes Harvey's Convention Center Floor, CC

10:10am PST

Learning from Limited Demonstrations Harvey's Convention Center Floor, CC

10:14am PST

Distributed Exploration in Multi-Armed Bandits Harvey's Convention Center Floor, CC

10:18am PST

Dimension-Free Exponentiated Gradient Harvey's Convention Center Floor, CC

10:22am PST

Generalizing Analytic Shrinkage for Arbitrary Covariance Structures Harvey's Convention Center Floor, CC

10:26am PST

Robust Spatial Filtering with Beta Divergence Harvey's Convention Center Floor, CC

12:00pm PST

Speeding up Permutation Testing in Neuroimaging Harvey's Convention Center Floor, CC

12:04pm PST

Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching Harvey's Convention Center Floor, CC

12:08pm PST

Deep Fisher Networks for Large-Scale Image Classification Harvey's Convention Center Floor, CC

12:12pm PST

Sinkhorn Distances: Lightspeed Computation of Optimal Transport Harvey's Convention Center Floor, CC

12:16pm PST

Understanding variable importances in forests of randomized trees Harvey's Convention Center Floor, CC