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Probability

1043 directly classified papers

Papers per year

Papers

Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective RSS 2014
QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation JMLR 2014
Exploiting the Limits of Structure Learning via Inherent Symmetry AISTATS 2014
Hitting and Commute Times in Large Random Neighborhood Graphs JMLR 2014
Learning Mixtures of Ranking Models NIPS 2014
Stiction Compensation in Agonist-Antagonist Variable Stiffness Actuators RSS 2014
Adaptive Monte Carlo via Bandit Allocation ICML 2014
Mean Reversion with a Variance Threshold ICML 2013
Solving inverse problem of Markov chain with partial observations NIPS 2013
Projecting Ising Model Parameters for Fast Mixing NIPS 2013
Computing the Stationary Distribution Locally NIPS 2013
Sign Cauchy Projections and Chi-Square Kernel NIPS 2013
A memory frontier for complex synapses NIPS 2013
Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NIPS 2013
The Randomized Dependence Coefficient NIPS 2013
What do row and column marginals reveal about your dataset? NIPS 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transport NIPS 2013
Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NIPS 2013
Stability of Multi-Task Kernel Regression Algorithms ACML 2013
Using Hyperbolic Cross Approximation to measure and compensate Covariate Shift ACML 2013
Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization ICML 2013
Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy ICML 2013
Spectral Learning of Hidden Markov Models from Dynamic and Static Data ICML 2013
O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions ICML 2013
Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting ICML 2013