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Probability

1,250 papers

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Papers

How to Compute the Probability of a Word EMNLP 2024 Identifiability Analysis of Linear ODE Systems with Hidden Confounders NeurIPS 2024 Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD ICML 2024 Improved algorithm and bounds for successive projection ICLR 2024 Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization ICML 2024 Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence NeurIPS 2024 Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting ICML 2024 Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs COLT 2024 Is Score Matching Suitable for Estimating Point Processes? NeurIPS 2024 Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence JMLR 2024 Kernel Semi-Implicit Variational Inference ICML 2024 Kernel Thinning JMLR 2024 Learning Elastic Costs to Shape Monge Displacements NeurIPS 2024 Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning AAAI 2024 Learning the Infinitesimal Generator of Stochastic Diffusion Processes NeurIPS 2024 Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis ICML 2024 Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk NeurIPS 2024 Lookback Prophet Inequalities NeurIPS 2024 Low Degree Hardness for Broadcasting on Trees NeurIPS 2024 Low-degree phase transitions for detecting a planted clique in sublinear time COLT 2024 Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling NeurIPS 2024 Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods NeurIPS 2024 Mean Estimation in the Add-Remove Model of Differential Privacy ICML 2024 Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input NeurIPS 2024 Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024