Mathematics & Optimization
19,283 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
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)
Towards Cross-Linguistic Semantic Grounding using Dictionary Graph Analysis
EMNLP 2024
Towards Domain-Specific Network Transport for Distributed DNN Training
NSDI 2024
Towards Dynamic Message Passing on Graphs
NeurIPS 2024
Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits
NeurIPS 2024
Towards Fairness in Online Service with K Servers and Its Application on Fair Food Delivery
AAAI 2024
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy
IJCAI 2024
Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach
ICLR 2024
Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport
AAAI 2024
Towards Multi-Mode Outlier Robust Tensor Ring Decomposition
AAAI 2024
Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm
JMLR 2024
Towards Optimal Subsidy Bounds for Envy-Freeable Allocations
AAAI 2024
Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout
EMNLP 2024
Towards provably performant congestion control
NSDI 2024
Towards Revolutionized Smart Grids: An AI-Driven Broker for Improved Operational Efficiency
IJCAI 2024
Towards Robust Learning to Optimize with Theoretical Guarantees
CVPR 2024
Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms
AAAI 2024
Towards Scalable and Stable Parallelization of Nonlinear RNNs
NeurIPS 2024
Towards Scene Graph Anticipation
ECCV 2024
Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent
AAAI 2024
Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features
ICML 2024
Towards Understanding Inductive Bias in Transformers: A View From Infinity
ICML 2024
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
NeurIPS 2024
Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach
AISTATS 2024
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming
NeurIPS 2024
Training-Free Quantum Architecture Search
AAAI 2024