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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)

Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias AISTATS 2024 If You Want to Be Robust, Be Wary of Initialization NeurIPS 2024 I Have an Attention Bridge to Sell You: Generalization Capabilities of Modular Translation Architectures NAACL 2024 IIRP-Net: Iterative Inference Residual Pyramid Network for Enhanced Image Registration CVPR 2024 ILILT: Implicit Learning of Inverse Lithography Technologies ICML 2024 Image Inpainting via Tractable Steering of Diffusion Models ICLR 2024 ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object CVPR 2024 IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method EMNLP 2024 iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping RSS 2024 Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment NeurIPS 2024 Impact of Decentralized Learning on Player Utilities in Stackelberg Games ICML 2024 Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training AISTATS 2024 Implicit Bias of AdamW: ℓ_∞-Norm Constrained Optimization ICML 2024 Implicit Bias of Mirror Flow on Separable Data NeurIPS 2024 Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States ICML 2024 Implicit bias of SGD in L_2-regularized linear DNNs: One-way jumps from high to low rank ICLR 2024 Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD ICML 2024 Implicit Discriminative Knowledge Learning for Visible-Infrared Person Re-Identification CVPR 2024 Implicit Gaussian process representation of vector fields over arbitrary latent manifolds ICLR 2024 Implicit Graph Search for Planning on Graphs of Convex Sets RSS 2024 Implicit Maximum a Posteriori Filtering via Adaptive Optimization ICLR 2024 Implicit Optimization Bias of Next-token Prediction in Linear Models NeurIPS 2024 Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity AISTATS 2024 Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks ICML 2024 Implicit Regularization of Decentralized Gradient Descent for Sparse Regression NeurIPS 2024