Probability
1,250 papers
Papers per year
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Papers
Time-uniform confidence bands for the CDF under nonstationarity
NeurIPS 2023
Tokenization and the Noiseless Channel
ACL 2023
Toward L_∞Recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields
COLT 2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality
COLT 2023
Towards Empirical Process Theory for Vector-Valued Functions: Metric Entropy of Smooth Function Classes
ALT 2023
Towards Scalable Coverage-Based Testing of Autonomous Vehicles
CoRL 2023
Tree-AMP: Compositional Inference with Tree Approximate Message Passing
JMLR 2023
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs
AAAI 2023
Two Sample Testing in High Dimension via Maximum Mean Discrepancy
JMLR 2023
Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions
ALT 2023
Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization
AAAI 2023
Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport
ACL 2023
Weitzman's Rule for Pandora's Box with Correlations
NeurIPS 2023
Why Rumors Spread Fast in Social Networks, and How to Stop It
IJCAI 2023
Abstract Argumentation Frameworks with Marginal Probabilities
IJCAI 2022
Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals
AISTATS 2022
A Fourier Approach to Mixture Learning
NeurIPS 2022
Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev
COLT 2022
A new similarity measure for covariate shift with applications to nonparametric regression
ICML 2022
A Private and Computationally-Efficient Estimator for Unbounded Gaussians
COLT 2022
A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions
AISTATS 2022
A Random Matrix Perspective on Random Tensors
JMLR 2022
Asymptotics of smoothed Wasserstein distances in the small noise regime
NeurIPS 2022
A Theoretical Perspective on Hyperdimensional Computing (Extended Abstract)
IJCAI 2022
A Wasserstein Distance Approach for Concentration of Empirical Risk Estimates
JMLR 2022