Mathematics & Optimization
19,283 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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8
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24
100
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125
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311
530
574
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880
1,053
1,491
1,739
1,880
1,904
2,070
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1,785
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2000
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Papers (including subtopics)
Disentangling Linear Quadratic Control with Untrusted ML Predictions
NeurIPS 2024
Disjoint Partial Enumeration without Blocking Clauses
AAAI 2024
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers
NeurIPS 2024
Dissimilarity Bandits
AISTATS 2024
Distances for Markov Chains, and Their Differentiation
ALT 2024
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed
AAAI 2024
Distributed Bilevel Optimization with Communication Compression
ICML 2024
Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms
JMLR 2024
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery
ICML 2024
Distributed Kernel-Driven Data Clustering
JMLR 2024
Distributed Least Squares in Small Space via Sketching and Bias Reduction
NeurIPS 2024
Distributed Manifold Hashing for Image Set Classification and Retrieval
AAAI 2024
Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions
UAI 2024
Distributionally Robust Performative Prediction
NeurIPS 2024
Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets
AISTATS 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms
NeurIPS 2024
Distributional Properties of Subword Regularization
EMNLP 2024
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation
NeurIPS 2024
Distributional Reinforcement Learning with Regularized Wasserstein Loss
NeurIPS 2024
Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective
JMLR 2024
DNCs Require More Planning Steps
ICML 2024
DNNLasso: Scalable Graph Learning for Matrix-Variate Data
AISTATS 2024
Document Alignment based on Overlapping Fixed-Length Segments
ACL 2024
Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors
NeurIPS 2024
Does Label Smoothing Help Deep Partial Label Learning?
ICML 2024