Optimization
17,731 papers
Papers per year
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546
768
1,185
1,385
1,651
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2,026
2,683
2,825
673
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Papers
SAMPa: Sharpness-aware Minimization Parallelized
NeurIPS 2024
Sample-and-Bound for Non-convex Optimization
AAAI 2024
Sample as you Infer: Predictive Coding with Langevin Dynamics
ICML 2024
Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data
ICML 2024
Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning
JMLR 2024
Sample-efficient Bayesian Optimisation Using Known Invariances
NeurIPS 2024
Sample-Efficient Constrained Reinforcement Learning with General Parameterization
NeurIPS 2024
Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization
NeurIPS 2024
Sampling from the Mean-Field Stationary Distribution
COLT 2024
Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
ICML 2024
SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training
AAAI 2024
Scalable and Effective Implicit Graph Neural Networks on Large Graphs
ICLR 2024
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
NeurIPS 2024
Scalable Data Ablation Approximations for Language Models through Modular Training and Merging
EMNLP 2024
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention
EMNLP 2024
Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach
EMNLP 2024
Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data
JMLR 2024
Scalable Kernel Inverse Optimization
NeurIPS 2024
Scalable Learning of Item Response Theory Models
AISTATS 2024
Scalable Neural Network Kernels
ICLR 2024
Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes
NeurIPS 2024
Scalable Online Exploration via Coverability
ICML 2024
Scalable Ultrafast Almost-optimal Euclidean Shortest Paths
IJCAI 2024
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
ICML 2024
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale
ACL 2024