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Papers

A heuristic for statistical seriation UAI 2021 A kernel two-sample test with selection bias UAI 2021 Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler JMLR 2021 An Automatic, Simple Ultrasound Biofeedback Parameter for Distinguishing Accurate and Misarticulated Rhotic Syllables Interspeech 2021 An Axiom System for Feedback Centralities IJCAI 2021 An Online Sequential Test for Qualitative Treatment Effects JMLR 2021 Application of kernel hypothesis testing on set-valued data UAI 2021 A Statistical Taylor Theorem and Extrapolation of Truncated Densities COLT 2021 A Stein Goodness-of-test for Exponential Random Graph Models AISTATS 2021 Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection NeurIPS 2021 A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions ICML 2021 Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation NeurIPS 2021 Bias and Variance of Post-processing in Differential Privacy AAAI 2021 Bias-corrected peaks-over-threshold estimation of the CVaR UAI 2021 Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models IJCAI 2021 Bootstrapping the Error of Oja's Algorithm NeurIPS 2021 Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints COLT 2021 Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently AAAI 2021 Changes in Glottal Source Parameter Values with Light to Moderate Physical Load Interspeech 2021 Characterizing Voiced and Voiceless Nasals in Mizo Interspeech 2021 Compressed Maximum Likelihood ICML 2021 Concentric mixtures of Mallows models for top-k rankings: sampling and identifiability ICML 2021 Consistent estimation of small masses in feature sampling JMLR 2021 ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation ICML 2021 Covariance-Aware Private Mean Estimation Without Private Covariance Estimation NeurIPS 2021