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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)

Exponential Quantum Communication Advantage in Distributed Inference and Learning NeurIPS 2024 Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition JMLR 2024 Exponent Relaxation of Polynomial Zonotopes and Its Applications in Formal Neural Network Verification AAAI 2024 Expressivity and Generalization: Fragment-Biases for Molecular GNNs ICML 2024 Expressivity of ReLU-Networks under Convex Relaxations ICLR 2024 Extending Context Window of Large Language Models from a Distributional Perspective EMNLP 2024 Extending Input Contexts of Language Models through Training on Segmented Sequences NAACL 2024 Extensive-Form Game Solving via Blackwell Approachability on Treeplexes NeurIPS 2024 Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data NeurIPS 2024 Extragradient Type Methods for Riemannian Variational Inequality Problems AISTATS 2024 Extreme Compression of Large Language Models via Additive Quantization ICML 2024 Extreme Fine-tuning: A Novel and Fast Fine-tuning Approach for Text Classification EACL 2024 Extremely Greedy Equivalence Search UAI 2024 F2RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech Generation EMNLP 2024 F3Loc: Fusion and Filtering for Floorplan Localization CVPR 2024 FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance CVPR 2024 Facility Location Problems with Capacity Constraints: Two Facilities and Beyond IJCAI 2024 Factored-Reward Bandits with Intermediate Observations ICML 2024 FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing NeurIPS 2024 FADAS: Towards Federated Adaptive Asynchronous Optimization ICML 2024 Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent AISTATS 2024 Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium NeurIPS 2024 Fair Classifiers that Abstain without Harm ICLR 2024 Fairness in Social Influence Maximization via Optimal Transport NeurIPS 2024 Fairness in Submodular Maximization over a Matroid Constraint AISTATS 2024