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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)

DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations AAAI 2024 DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning ICLR 2024 Depth Degeneracy in Neural Networks: Vanishing Angles in Fully Connected ReLU Networks on Initialization JMLR 2024 Depth Separation in Norm-Bounded Infinite-Width Neural Networks COLT 2024 Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification COLING 2024 Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit ICLR 2024 Derandomizing Multi-Distribution Learning NeurIPS 2024 Derivatives of Stochastic Gradient Descent in parametric optimization NeurIPS 2024 Deriving Provably Correct Explanations for Decision Trees: The Impact of Domain Theories IJCAI 2024 Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option IJCAI 2024 Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning AAAI 2024 Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization NeurIPS 2024 Design of Feedback Active Noise Cancellation Filter Using Nested Recurrent Neural Networks Interspeech 2024 Design of observer-based finite-time control for inductively coupled power transfer system with random gain fluctuations L4DC 2024 DET: A Dual-Encoding Transformer for Relational Graph Embedding COLING 2024 Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization ICLR 2024 Detecting AI-Generated Code Assignments Using Perplexity of Large Language Models AAAI 2024 Detecting critical treatment effect bias in small subgroups UAI 2024 Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy ICLR 2024 Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood EMNLP 2024 Detection Defenses: An Empty Promise Against Adversarial Patch Attacks on Optical Flow WACV 2024 Detection of $L_∞$ Geometry in Random Geometric Graphs: Suboptimality of Triangles and Cluster Expansion COLT 2024 Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time NeurIPS 2024 DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy ACL 2024 DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment NeurIPS 2024