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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)

Deep Hankel matrices with random elements L4DC 2024 Deep Learning for Computing Convergence Rates of Markov Chains NeurIPS 2024 Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond NeurIPS 2024 Deep linear networks for regression are implicitly regularized towards flat minima NeurIPS 2024 Deep Metric Learning With Chance Constraints WACV 2024 Deep model-free KKL observer: A switching approach L4DC 2024 Deep Network Approximation: Beyond ReLU to Diverse Activation Functions JMLR 2024 Deep Networks Always Grok and Here is Why ICML 2024 Deep Neural Network Approximation of Invariant Functions through Dynamical Systems JMLR 2024 DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS ICLR 2024 Deep Neural Networks Tend To Extrapolate Predictably ICLR 2024 Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces JMLR 2024 Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models ECCV 2024 DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models ACL 2024 DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing AAAI 2024 Deep Submodular Peripteral Networks NeurIPS 2024 Deep-TROJ: An Inference Stage Trojan Insertion Algorithm through Efficient Weight Replacement Attack CVPR 2024 Deep Unfolded Network with Intrinsic Supervision for Pan-Sharpening AAAI 2024 DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training ICLR 2024 Defense against Model Extraction Attack by Bayesian Active Watermarking ICML 2024 Defining Knowledge: Bridging Epistemology and Large Language Models EMNLP 2024 Defining Neural Network Architecture through Polytope Structures of Datasets ICML 2024 Deformation-aware GAN for Medical Image Synthesis with Substantially Misaligned Pairs MIDL 2024 DE-HNN: An effective neural model for Circuit Netlist representation AISTATS 2024 Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning NAACL 2024