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Probability

1043 directly classified papers

Papers per year

Papers

Dimension-free Information Concentration via Exp-Concavity ALT 2018
Unperturbed: spectral analysis beyond Davis-Kahan ALT 2018
Exponentiated Strongly Rayleigh Distributions NIPS 2018
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements IJCAI 2018
Estimating Latent People Flow without Tracking Individuals IJCAI 2018
Asymptotic optimality of adaptive importance sampling NIPS 2018
Probability–Revealing Samples AISTATS 2018
Maximum Likelihood Estimation for Mixtures of Spherical Gaussians is NP-hard JMLR 2018
Statistically Efficient Estimation for Non-Smooth Probability Densities AISTATS 2018
On how complexity affects the stability of a predictor AISTATS 2018
Kernel Density Estimation for Dynamical Systems JMLR 2018
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising ICML 2018
The Critical Radius in Sampling-based Motion Planning RSS 2018
Sliced Wasserstein Distance for Learning Gaussian Mixture Models CVPR 2018
Pitch Convergence as an Effect of Perceived Attractiveness and Likability INTERSPEECH 2017
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes NIPS 2017
A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints COLT 2017
Memoryless Sequences for Differentiable Losses COLT 2017
Square Hellinger Subadditivity for Bayesian Networks and its Applications to Identity Testing COLT 2017
Pareto Optimal Allocation under Uncertain Preferences IJCAI 2017
Equilibria in Ordinal Games: A Framework based on Possibility Theory. IJCAI 2017
Computing Bayes-Nash Equilibria in Combinatorial Auctions with Continuous Value and Action Spaces IJCAI 2017
Learning a Ground Truth Ranking Using Noisy Approval Votes IJCAI 2017
On the Complexity of Learning from Label Proportions IJCAI 2017
Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization IJCAI 2017