Awesome Papers

Papers

Rates of Convergence for Large-scale Nearest Neighbor Classification (2019)
Xingye Qiao et al.
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Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression (2019)
Puning Zhao et al.
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A fast score-based search algorithm for maximal ancestral graphs using entropy (2024)
Zhongyi Hu and Robin Evans
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Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNets (2026)
Zixiong Yu et al.
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Learning conditional distributions on continuous spaces (2024)
Cyril B\'en\'ezet et al.
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Lean Formalization of Generalization Error Bound by Rademacher Complexity and Dudley's Entropy Integral (2026)
Sho Sonoda et al.
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Some Robustness Properties of Label Cleaning (2026)
Chen Cheng et al.
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Error Analysis of Discrete Flow with Generator Matching (2026)
Zhengyan Wan et al.
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One-shot Conditional Sampling: MMD meets Nearest Neighbors (2026)
Anirban Chatterjee et al.
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Small Ensemble-based Data Assimilation: A Machine Learning-Enhanced Data Assimilation Method with Limited Ensemble Size (2026)
Zhilin Li et al.
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Diffusion differentiable resampling (2026)
Jennifer Rosina Andersson et al.
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Riemannian AmbientFlow: Towards Simultaneous Manifold Learning and Generative Modeling from Corrupted Data (2026)
Willem Diepeveen et al.
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Linear Regression with Unknown Truncation Beyond Gaussian Features (2026)
Alexandros Kouridakis et al.
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Order-Optimal Sequential 1-Bit Mean Estimation in General Tail Regimes (2026)
Ivan Lau et al.
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On Stability and Decomposition of Sample Quantiles under Heavy-Tailed Distributions (2026)
Choudur Lakshminarayan
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The General Theory of Localization Methods (2026)
Congwei Song
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Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models (2026)
Krishnakumar Balasubramanian
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Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation (2026)
Benedikt L\"utke Schwienhorst et al.
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Operationalizing Individual Fairness via Gradient Descent and Bradley-Terry Models (2026)
Conlan Olson et al.
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Entropy Equivalence Testing (2026)
Cl\'ement L. Canonne et al.
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Instance-Optimal Estimation with Multiple LLM Judges on a Budget (2026)
Junghyun Lee et al.
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Asymmetric Scaling Laws from Sparse Features (2026)
John Sous et al.
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Entrywise Error Bounds for Spectral Ranking with Semi-Random Adversaries (2026)
Dongmin Lee et al.
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Move on Muon : A Hamiltonian probability gradient flow perspective of Muon optimizer (2026)
Aratrika Mustafi et al.
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On the Stability of Spherical Hellinger-Kantorovich Flows and Their Implications for Differential Privacy (2026)
Aratrika Mustafi et al.
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Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions (2026)
Willem Diepeveen et al.
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The Normalized Maximum Likelihood for Regular Non-Smooth Models: Measure-Theoretic Foundations and Geometric Sampling (2026)
Trenton Lau et al.
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Feature Learning in Wide Neural Networks under $\mu$P: Identifiability and Sparse-Dictionary Decomposition of the Mean-Field Limit (2026)
Akmal Xodarev
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On the Sample Complexity of Robust Binary Hypothesis Testing (2026)
Shankar Vallinayagam et al.
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Nystr\"om Kernel Stein Discrepancy Tests (2026)
Florian Kalinke et al.
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Algorithms with Polynomially-Improved Approximation Factors for the $2 \rightarrow q$ Norm, and Applications (2026)
Samuel B. Hopkins et al.
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Learning manifold diffusion semigroups from graph transition matrices (2026)
Xiuyuan Cheng et al.
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PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting (2026)
Steve Hanneke et al.
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Minimax Limits of k-Fold Cross-Validation via Majority (2026)
Ido Nachum et al.
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Bridging Maximum Likelihood and Optimal Transport for Efficient Inference and Model Selection in Stochastic Block Models (2026)
Simon Queric et al.
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Eigen-Spike Emergence and Quadratic Equivalents for Conjugate Kernels on Nonlinearly Separable Data (2026)
Collin Cranston et al.
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Low-degree estimation thresholds in planted hypergraphs and tensor PCA (2026)
Daniel Fu et al.
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Diffusion Models Are Statistically Optimal for Learning Low-Dimensional Multi-Modal Distributions (2026)
Jingda Wu et al.
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Leave a Window Out: Modifying the Jackknife for Predictive Inference in Time Series (2026)
Hanyang Jiang et al.
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Improved Guarantees for Heterogeneous Treatment-Effect Estimation via Matrix Completion (2026)
Anay Mehrotra et al.
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Reasoning with Sampling: Cutting at Decision Points (2026)
Felix Zhou et al.
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