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Feasible closed form moment matching for scenario generation through...
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Canonical Layer Inference for Deep Gaussian Processes via Symmetry-B...
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Identifiability from Moments in Independent Component Analysis Mixtu...
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Weighted spatial averages with missing observations: Convergence and...
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Exact Tail Laws for Nonlinear SGD with Infinite-Variance Gradients
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Sieve-free ReLU Bayesian priors with near-minimax posterior contraction
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Two Sample Sizes in Test-Time LLM Ensembling: Buffered ERM and Minim...
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A One-Sided McDiarmid-Type Inequality for Heavy Tails via Reverse KL...
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Softplus Affine(1, 1) Processes: Enlarged Stationarity Region, Stati...
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A New Perspective on Cumulative Residual R\'enyi Entropy
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Drift parameter estimation for interacting particle systems with sin...
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Pointwise minimax lower bounds under a multi-index constraint: the p...
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On Local Inference for Functionals of Ill-Posed Inverse Problems
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Minimax rates for pointwise CATE estimation: the role of design smoo...
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Inference for Fr\'echet Mean Sets
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Sampling with collective variables: Relative error analysis for umbr...
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Interpolation and coherence in multiple testing
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A pedestrian's approach to Bayesian methods for inverse problems
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Identifiability and Consistent Recovery for the Unnormalized Graph L...
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Synergistic Learning in Domain Adaptation with a Known Link: A Minim...
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Adaptive Robust Confidence Sets in High Dimensions
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Three Homoscedastic Gaussian Components Have at Most Four Modes
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Rank-based Model Average Estimator for Average Treatment Effects
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Energy-Guided Learning for Heat Equation with Noisy Source: Optimal ...
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Applications of Royen's Gaussian Correlation Inequality in high-dime...
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Lattice-Based Characterizations and Inference for Multivariate Depen...
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Minimax Wasserstein Testing under Differential Privacy
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Quantitative Stability and Sample Complexity for Regularized Gromov-...
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Estimating ratio of variance components in a balanced one-way random...
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Beyond Discrepancy: Oracle Drift in Nonstationary Weighted Risk Mini...
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