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Probability

1043 directly classified papers

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Papers

Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging AISTATS 2024
Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions AISTATS 2024
BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence AAAI 2024
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning AAAI 2024
PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model AISTATS 2024
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers NIPS 2024
Statistical Spatially Inhomogeneous Diffusion Inference AAAI 2024
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs AAAI 2024
Differentially Private Set Representations NIPS 2024
Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations" JMLR 2024
Fisher information dissipation for time-inhomogeneous stochastic differential equations JMLR 2024
Validating Climate Models with Spherical Convolutional Wasserstein Distance NIPS 2024
Pure Differential Privacy for Functional Summaries with a Laplace-like Process JMLR 2024
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods NIPS 2024
On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives JMLR 2024
Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits NIPS 2024
Universal Exact Compression of Differentially Private Mechanisms NIPS 2024
Higher-Order Causal Message Passing for Experimentation with Complex Interference NIPS 2024
Bayes-optimal learning of an extensive-width neural network from quadratically many samples NIPS 2024
On Ranking-based Tests of Independence AISTATS 2024
Fast 1-Wasserstein distance approximations using greedy strategies AISTATS 2024
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024
Kernel Thinning JMLR 2024
Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models AISTATS 2024
Combinatorial Stochastic-Greedy Bandit AAAI 2024