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)

Optimal Top-Two Method for Best Arm Identification and Fluid Analysis NeurIPS 2024 Optimal Transport for Measures with Noisy Tree Metric AISTATS 2024 Optimal Transport with Tempered Exponential Measures AAAI 2024 Optimisation and Approximation in Abstract Argumentation: The Case of Stable Semantics IJCAI 2024 Parameterized Complexity of Kidney Exchange Revisited IJCAI 2024 Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent NeurIPS 2024 Pareto Smoothed Importance Sampling JMLR 2024 Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract) AAAI 2024 Pater Incertus? There Is a Solution: Automatic Discrimination between Cognates and Borrowings for Romance Languages COLING 2024 Path-Guided Particle-based Sampling ICML 2024 PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs IJCAI 2024 PE: A Poincare Explanation Method for Fast Text Hierarchy Generation EMNLP 2024 Performance Bounds for Active Binary Testing with Information Maximization ICML 2024 Persistence Homology Distillation for Semi-supervised Continual Learning NeurIPS 2024 Persistent Homology for High-dimensional Data Based on Spectral Methods NeurIPS 2024 Perturb-and-Project: Differentially Private Similarities and Marginals ICML 2024 PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024 Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NeurIPS 2024 PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs NeurIPS 2024 Polyhedral Complex Derivation from Piecewise Trilinear Networks NeurIPS 2024 Position: Optimization in SciML Should Employ the Function Space Geometry ICML 2024 Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds ICML 2024 Power of knockoff: The impact of ranking algorithm, augmented design, and symmetric statistic JMLR 2024 Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory ICML 2024 Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes COLT 2024