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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

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment ICML 2024 Advancing Dynamic Sparse Training by Exploring Optimization Opportunities ICML 2024 Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation IJCAI 2024 Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler NeurIPS 2024 Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness ICLR 2024 Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation NeurIPS 2024 Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs ICLR 2024 Adversarial Attacks on the Interpretation of Neuron Activation Maximization AAAI 2024 Adversarial Causal Bayesian Optimization ICLR 2024 Adversarial Diffusion Distillation ECCV 2024 Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training AAAI 2024 Adversarial Likelihood Estimation With One-Way Flows WACV 2024 Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters NeurIPS 2024 Adversarially Robust Hypothesis Transfer Learning ICML 2024 Adversarially-Robust Inference on Trees via Belief Propagation COLT 2024 Adversarial Online Collaborative Filtering ALT 2024 Adversarial Online Learning with Temporal Feedback Graphs COLT 2024 Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies ICML 2024 A Dynamical Model of Neural Scaling Laws ICML 2024 A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics NeurIPS 2024 A faster and simpler algorithm for learning shallow networks COLT 2024 A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization ICML 2024 A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs NeurIPS 2024 Affine Equivariant Networks Based on Differential Invariants CVPR 2024 AffineQuant: Affine Transformation Quantization for Large Language Models ICLR 2024