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1219 directly classified papers

Papers per year

Papers

Geometric No-U-Turn Samplers: Concepts and Evaluation PGM 2024
False discovery proportion envelopes with m-consistency JMLR 2024
The sub-band cepstrum as a tool for locating local spectral regions of phonetic sensitivity: A first attempt with multi-speaker vowel data INTERSPEECH 2024
On Ranking-based Tests of Independence AISTATS 2024
Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions AISTATS 2024
On the estimation of persistence intensity functions and linear representations of persistence diagrams AISTATS 2024
Spatial meshing for general Bayesian multivariate models JMLR 2024
An Improved Algorithm for Learning Drifting Discrete Distributions AISTATS 2024
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm AISTATS 2024
Learning Adaptive Kernels for Statistical Independence Tests AISTATS 2024
From Small Scales to Large Scales: Distance-to-Measure Density based Geometric Analysis of Complex Data JMLR 2024
On Differentially Private U Statistics NIPS 2024
Vector Quantile Regression on Manifolds AISTATS 2024
Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression AISTATS 2024
On Parameter Estimation in Deviated Gaussian Mixture of Experts AISTATS 2024
On the connection between Noise-Contrastive Estimation and Contrastive Divergence AISTATS 2024
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024
When Is Inductive Inference Possible? NIPS 2024
The Space Complexity of Approximating Logistic Loss NIPS 2024
Graph fission and cross-validation AISTATS 2024
Dissimilarity Bandits AISTATS 2024
Approximate Information Tests on Statistical Submanifolds JMLR 2024
Information-theoretic Generalization Analysis for Expected Calibration Error NIPS 2024
Federated Experiment Design under Distributed Differential Privacy AISTATS 2024
Contrastive dimension reduction: when and how? NIPS 2024