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Probability

1043 directly classified papers

Papers per year

Papers

Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods NIPS 2024
Universal Exact Compression of Differentially Private Mechanisms NIPS 2024
Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm AISTATS 2024
Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random steps JMLR 2024
Fast parallel sampling under isoperimetry COLT 2024
Deep Learning for Computing Convergence Rates of Markov Chains NIPS 2024
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees AAAI 2024
Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence NIPS 2024
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport AISTATS 2024
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization AISTATS 2024
On the Expected Size of Conformal Prediction Sets AISTATS 2024
Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk NIPS 2024
Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models AISTATS 2024
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024
PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model AISTATS 2024
The Relative Gaussian Mechanism and its Application to Private Gradient Descent AISTATS 2024
On cyclical MCMC sampling AISTATS 2024
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference NIPS 2024
Fast 1-Wasserstein distance approximations using greedy strategies AISTATS 2024
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport AISTATS 2024
Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions NIPS 2024
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging AISTATS 2024
3D Gaussian Splatting as Markov Chain Monte Carlo NIPS 2024
Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence NIPS 2024