Optimization
17,731 papers
Papers per year
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64
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117
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377
337
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415
546
768
1,185
1,385
1,651
1,697
2,026
2,683
2,825
673
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Papers
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning
WACV 2024
Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching
CVPR 2024
Pay to (Not) Play: Monetizing Impatience in Mobile Games
AAAI 2024
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
AAAI 2024
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
ICML 2024
Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
ICML 2024
Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization
AAAI 2024
Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds
NeurIPS 2024
Peptide Vaccine Design by Evolutionary Multi-Objective Optimization
IJCAI 2024
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
NeurIPS 2024
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts
AAAI 2024
Performative Prediction with Bandit Feedback: Learning through Reparameterization
ICML 2024
Periodicity Decoupling Framework for Long-term Series Forecasting
ICLR 2024
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
NeurIPS 2024
Perturb-and-Project: Differentially Private Similarities and Marginals
ICML 2024
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off
AAAI 2024
Pessimistic Backward Policy for GFlowNets
NeurIPS 2024
Pessimistic Off-Policy Multi-Objective Optimization
AISTATS 2024
Physically Compatible 3D Object Modeling from a Single Image
NeurIPS 2024
Physics-Informed Graph Neural Networks for Water Distribution Systems
AAAI 2024
Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification
ICML 2024
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
NeurIPS 2024
Physics-informed Neural Networks with Unknown Measurement Noise
L4DC 2024
PIDformer: Transformer Meets Control Theory
ICML 2024
Piecewise regression via mixed-integer programming for MPC
L4DC 2024