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684 directly classified papers

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Papers

Full Bayesian Significance Testing for Neural Networks AAAI 2024
Graph fission and cross-validation AISTATS 2024
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches AAAI 2024
Confident Feature Ranking AISTATS 2024
A Proposal for Scaling the Scaling Laws EACL 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets JMLR 2024
Deep anytime-valid hypothesis testing AISTATS 2024
Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective JMLR 2024
Split Conformal Prediction and Non-Exchangeable Data JMLR 2024
The Shape of Word Embeddings: Quantifying Non-Isometry with Topological Data Analysis EMNLP 2024
Precise Model Benchmarking with Only a Few Observations EMNLP 2024
False discovery proportion envelopes with m-consistency JMLR 2024
Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks AISTATS 2024
Two is Better Than One: Regularized Shrinkage of Large Minimum Variance Portfolios JMLR 2024
Learning Adaptive Kernels for Statistical Independence Tests AISTATS 2024
Risk Measures and Upper Probabilities: Coherence and Stratification JMLR 2024
Information-theoretic Generalization Analysis for Expected Calibration Error NIPS 2024
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference NIPS 2024
Non-splitting Neyman-Pearson Classifiers JMLR 2024
Differentially Private Equivalence Testing for Continuous Distributions and Applications NIPS 2024
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound NIPS 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution NIPS 2024
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NIPS 2024
Public-data Assisted Private Stochastic Optimization: Power and Limitations NIPS 2024
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning AISTATS 2024