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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Physically consistent modeling & identification of nonlinear friction with dissipative Gaussian processes L4DC 2024 Physics and Lie symmetry informed Gaussian processes ICML 2024 Physics-constrained learning of PDE systems with uncertainty quantified port-Hamiltonian models L4DC 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: Minimizing Residual Loss with Wide Networks and Effective Activations IJCAI 2024 Physics-informed Neural Networks with Unknown Measurement Noise L4DC 2024 Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings ICLR 2024 PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning ICML 2024 PIDformer: Transformer Meets Control Theory ICML 2024 Pi-DUAL: Using privileged information to distinguish clean from noisy labels ICML 2024 Piecewise deterministic generative models NeurIPS 2024 Piecewise regression via mixed-integer programming for MPC L4DC 2024 Piecewise-Stationary Bandits with Knapsacks NeurIPS 2024 PIE-NeRF: Physics-based Interactive Elastodynamics with NeRF CVPR 2024 PILOT: An O(1/K)-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation ICLR 2024 PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs NeurIPS 2024 PINNACLE: PINN Adaptive ColLocation and Experimental points selection ICLR 2024 Pipeline Parallelism with Controllable Memory NeurIPS 2024 Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners ICML 2024 Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models ICLR 2024 Plug-and-Play image restoration with Stochastic deNOising REgularization ICML 2024 Plug-in Performative Optimization ICML 2024 Plum: Prompt Learning using Metaheuristics ACL 2024