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Variance Reduction for Expectations with Diffusion Teachers
👁 120 📚 7
Polynomial-Time Robust Multiclass Linear 分类 (Classification) under Gaussian Marginals
Polynomial-Time Robust Multiclass Linear Classification under Gaussian Marginals
👁 202 📚 16
Optimizing for Fairness in Generalized Kidney Exchange: Theory and Computations
👁 65 📚 1
An Approximation Algorithm for Graph Label Selection
👁 139 📚 14
On the parameterized complexity of Broadcast Independence and Broadcast Packing
👁 36 📚 25
To discretize continually: Mean shift interacting particle systems for 贝叶斯 (Bayesian) inference
To discretize continually: Mean shift interacting particle systems for Bayesian inference
👁 109 📚 23
Optimal Bounds for the k-Disjoint Paths Problem
👁 112 📚 21
Sharp Bounds on the Eigenvalues of Kikuchi Graphs and Applications to Quantum Max Cut
👁 110 📚 1
What is Learnable in Valiant's Theory of the Learnable?
👁 185 📚 12
A Note on Non-Negative $L_1$-Approximating Polynomials
👁 134 📚 27
On the Parameterized Approximability of (Mergeable) Sum of Radii Clustering
👁 93 📚 12
Fast decremental tree sums in forests
👁 147 📚 21
An $\widetilde{O} (n^{3/7})$ Round Parallel Algorithm for Matroid Bases
👁 188 📚 16
A Faster Deterministic Algorithm for Fully Dynamic Maximal Matching
👁 242 📚 7
Simpler and Improved Replacement Path Coverings
👁 151 📚 24
Distributed Santa Claus via Global Rounding
👁 193 📚 26
Sequential 推断 (Inference) for Gaussian Processes: A Signal Processing Perspective
Sequential Inference for Gaussian Processes: A Signal Processing Perspective
👁 191 📚 22
Succinct Graph Representations and Algorithmic Applications
👁 222 📚 19
Minimum Covariance Determinant Estimator and Outlier Detection for Interval-valued 数据 (Data)
Minimum Covariance Determinant Estimator and Outlier Detection for Interval-valued Data
👁 70 📚 3
一些W[1]-硬性问题的严格边界
Tight Bounds for some W[1]-hard Problems Parameterized by Multi-clique-width
👁 82 📚 23
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海洋智能体
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