conftrace_

Mathematics & Optimization

19,283 papers (0 classified directly here)

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

Optimization (14,850) Mathematics (6,356) Probability (617) Statistics (361) Discrete Mathematics (23)

Papers per year

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8

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8

24

100

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125

139

182

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311

530

574

599

676

880

1,053

1,491

1,739

1,880

1,904

2,070

2,345

1,785

517

2000

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Papers (including subtopics)

Scalable Higher-Order Tensor Product Spline Models AISTATS 2024 Scalable Kernel Inverse Optimization NeurIPS 2024 Scalable Landmark Hub Labeling for Optimal and Bounded Suboptimal Pathfinding IJCAI 2024 Scalable Learning of Item Response Theory Models AISTATS 2024 Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation ICML 2024 Scalable Optimization in the Modular Norm NeurIPS 2024 Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport ICML 2024 Scaling Exponents Across Parameterizations and Optimizers ICML 2024 Scaling Laws in Linear Regression: Compute, Parameters, and Data NeurIPS 2024 Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon AAAI 2024 SchurVINS: Schur Complement-Based Lightweight Visual Inertial Navigation System CVPR 2024 Score-Based Causal Discovery of Latent Variable Causal Models ICML 2024 Scores for Learning Discrete Causal Graphs with Unobserved Confounders AAAI 2024 SDEs for Minimax Optimization AISTATS 2024 Second-order forward-mode optimization of recurrent neural networks for neuroscience NeurIPS 2024 Second Order Methods for Bandit Optimization and Control COLT 2024 Secret Collusion among AI Agents: Multi-Agent Deception via Steganography NeurIPS 2024 Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method JMLR 2024 Seed Selection in the Heterogeneous Moran Process IJCAI 2024 Seer: Enabling Future-Aware Online Caching in Networked Systems NSDI 2024 Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract) IJCAI 2024 Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation ICML 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