conftrace_

Mathematics

6,356 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Graph Theory (1,461) Statistics (1,367) Probability (1,250) Geometry (791) Information Theory (548) Linear Algebra (534) Discrete Mathematics (489) Numerical Analysis (381) Signal Processing (114) Algebra (74) Differential Equations (54) Topology (49) Functional Analysis (35) Logic (16)

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489

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Papers (including subtopics)

ROME: Robust Multi-Modal Density Estimator IJCAI 2024 Runtime vs. Extracted Proof Size: An Exponential Gap for CDCL on QBFs AAAI 2024 S$Ω$I: Score-based O-INFORMATION Estimation ICML 2024 Sample Complexity Bounds for Estimating Probability Divergences under Invariances ICML 2024 Sample Complexity of Posted Pricing for a Single Item NeurIPS 2024 Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization NeurIPS 2024 Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs AISTATS 2024 Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity COLT 2024 Sampling Polytopes with Riemannian HMC: Faster Mixing via the Lewis Weights Barrier COLT 2024 SaNN: Simple Yet Powerful Simplicial-aware Neural Networks ICLR 2024 SAT-Based Techniques for Lexicographically Smallest Finite Models AAAI 2024 Scalable Distance-based Multi-Agent Relative State Estimation via Block Multiconvex Optimization RSS 2024 Scalable Enumeration of Trap Spaces in Boolean Networks via Answer Set Programming AAAI 2024 Scalable Higher-Order Tensor Product Spline Models AISTATS 2024 Scalable Learning of Item Response Theory Models AISTATS 2024 Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation ICML 2024 Scores for Learning Discrete Causal Graphs with Unobserved Confounders AAAI 2024 Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method JMLR 2024 Semantic Routing via Autoregressive Modeling NeurIPS 2024 Semidefinite Relaxations of the Gromov-Wasserstein Distance NeurIPS 2024 Semi-supervised Inference for Block-wise Missing Data without Imputation JMLR 2024 Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss ICML 2024 Shifted Interpolation for Differential Privacy ICML 2024 SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations AAAI 2024 Simulating weighted automata over sequences and trees with transformers AISTATS 2024