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

The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective JMLR 2024 The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models ACL 2024 The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms NeurIPS 2024 The Human-AI Substitution game: active learning from a strategic labeler ICLR 2024 The Impact of Depth on Compositional Generalization in Transformer Language Models NAACL 2024 The Impact of Differential Privacy on Group Disparity Mitigation NAACL 2024 The Impact of Geometric Complexity on Neural Collapse in Transfer Learning NeurIPS 2024 The Impact of Initialization on LoRA Finetuning Dynamics NeurIPS 2024 The Impact of Integration Step on Integrated Gradients EACL 2024 The Implicit Bias of Adam on Separable Data NeurIPS 2024 The Implicit Bias of Gradient Descent on Separable Multiclass Data NeurIPS 2024 The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions NeurIPS 2024 The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing NeurIPS 2024 The importance of feature preprocessing for differentially private linear optimization ICLR 2024 The Impossibility of Parallelizing Boosting ALT 2024 The Information Retrieval Experiment Platform (Extended Abstract) IJCAI 2024 The Irrelevance of Influencers: Information Diffusion with Re-Activation and Immunity Lasts Exponentially Long on Social Network Models AAAI 2024 The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information NeurIPS 2024 The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model ICLR 2024 The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space NeurIPS 2024 The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication COLT 2024 The Limits of Differential Privacy in Online Learning NeurIPS 2024 The Limits of Transfer Reinforcement Learning with Latent Low-rank Structure NeurIPS 2024 The LLM Surgeon ICLR 2024 The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis JMLR 2024