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Probability

1043 directly classified papers

Papers per year

Papers

Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent NIPS 2021
Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection AAAI 2021
Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis NIPS 2021
Testing Probabilistic Circuits NIPS 2021
Parametric Distributions to Model Numerical Emotion Labels INTERSPEECH 2021
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable NIPS 2021
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation ICML 2021
Smooth $p$-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications ICML 2021
Kernel Stein Discrepancy Descent ICML 2021
Statistical Estimation from Dependent Data ICML 2021
A Nullspace Property for Subspace-Preserving Recovery ICML 2021
Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free ICML 2021
Faster and Better Simple Temporal Problems AAAI 2021
Finding Relevant Information via a Discrete Fourier Expansion ICML 2021
Active Slices for Sliced Stein Discrepancy ICML 2021
On the difficulty of unbiased alpha divergence minimization ICML 2021
XOR-CD: Linearly Convergent Constrained Structure Generation ICML 2021
Context-Aware Online Collective Inference for Templated Graphical Models ICML 2021
Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples L4DC 2021
Leveraging probabilistic circuits for nonparametric multi-output regression UAI 2021
Light RUMs ICML 2021
Higher-order Derivatives of Weighted Finite-state Machines IJCNLP 2021
Low-Rank Sinkhorn Factorization ICML 2021
Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling AAAI 2021
Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently AAAI 2021