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1219 directly classified papers

Papers per year

Papers

False discovery proportion envelopes with m-consistency JMLR 2024
Identification of mixtures of discrete product distributions in near-optimal sample and time complexity COLT 2024
On Regularized Radon-Nikodym Differentiation JMLR 2024
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024
Scalable Learning of Item Response Theory Models AISTATS 2024
Vector Quantile Regression on Manifolds AISTATS 2024
Contrastive dimension reduction: when and how? NIPS 2024
Learning Adaptive Kernels for Statistical Independence Tests AISTATS 2024
Lexicographic Optimization: Algorithms and Stability AISTATS 2024
Learning Cartesian Product Graphs with Laplacian Constraints AISTATS 2024
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference NIPS 2024
On Tail Decay Rate Estimation of Loss Function Distributions JMLR 2024
On Parameter Estimation in Deviated Gaussian Mixture of Experts AISTATS 2024
Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression AISTATS 2024
On the connection between Noise-Contrastive Estimation and Contrastive Divergence AISTATS 2024
Dissimilarity Bandits AISTATS 2024
Fitting ARMA Time Series Models without Identification: A Proximal Approach AISTATS 2024
An Improved Algorithm for Learning Drifting Discrete Distributions AISTATS 2024
Covariate Shift Corrected Conditional Randomization Test NIPS 2024
Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence JMLR 2024
Principal Component Analysis as a Sanity Check for Bayesian Phylolinguistic Reconstruction COLING 2024
Goidelex: A Lexical Resource for Old Irish COLING 2024
Breaking the curse of dimensionality in structured density estimation NIPS 2024
Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions AISTATS 2024
Spatial meshing for general Bayesian multivariate models JMLR 2024