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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2

8

13

8

24

100

100

125

139

182

227

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)

BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning NeurIPS 2024 Breaking isometric ties and introducing priors in Gromov-Wasserstein distances AISTATS 2024 Breaking the curse of dimensionality in structured density estimation NeurIPS 2024 Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems AISTATS 2024 Bridging the Gap between General and Down-Closed Convex Sets in Submodular Maximization IJCAI 2024 Broadcasting Support Relations Recursively from Local Dynamics for Object Retrieval in Clutters RSS 2024 Budget Feasible Mechanisms: A Survey IJCAI 2024 Building a Broad Infrastructure for Uniform Meaning Representations COLING 2024 Bures-Wasserstein Means of Graphs AISTATS 2024 Burstable Cloud Block Storage with Data Processing Units OSDI 2024 ByMI: Byzantine Machine Identification with False Discovery Rate Control ICML 2024 Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NeurIPS 2024 Can a Few Decide for Many? The Metric Distortion of Sortition ICML 2024 Can Gaussian Sketching Converge Faster on a Preconditioned Landscape? ICML 2024 Can neural operators always be continuously discretized? NeurIPS 2024 Can Probabilistic Feedback Drive User Impacts in Online Platforms? AISTATS 2024 CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters NSDI 2024 Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning ICML 2024 Categorical Flow Matching on Statistical Manifolds NeurIPS 2024 Cauchy Graphical Models PGM 2024 Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginals ICML 2024 Causal Inference from Competing Treatments ICML 2024 Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations IJCAI 2024 Cautionary Tales on Synthetic Controls in Survival Analyses CLeaR 2024 CEGAR-Based Approach for Solving Combinatorial Optimization Modulo Quantified Linear Arithmetics Problems AAAI 2024