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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)

A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers NeurIPS 2024 AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction NeurIPS 2024 A Sequentially Fair Mechanism for Multiple Sensitive Attributes AAAI 2024 AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms AISTATS 2024 A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of Θ(T^2/3) and its Application to Best-of-Both-Worlds NeurIPS 2024 A Simple and Effective Pruning Approach for Large Language Models ICLR 2024 A Simple and Optimal Approach for Universal Online Learning with Gradient Variations NeurIPS 2024 A Simple and Yet Fairly Effective Defense for Graph Neural Networks AAAI 2024 A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences NeurIPS 2024 A Single Linear Layer Yields Task-Adapted Low-Rank Matrices COLING 2024 A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training NeurIPS 2024 ASMR: Angular Support for Malfunctioning Client Resilience in Federated Learning MIDL 2024 A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules? ICML 2024 A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport AISTATS 2024 Assessing the Overall and Partial Causal Well-Specification of Nonlinear Additive Noise Models JMLR 2024 Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition ICLR 2024 AssistGUI: Task-Oriented PC Graphical User Interface Automation CVPR 2024 Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability NeurIPS 2024 A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data ICLR 2024 A Statistical Experimental Design Method for Constructing Deterministic Sensing Matrices for Compressed Sensing JMLR 2024 A Statistical Framework for Data-dependent Retrieval-Augmented Models ICML 2024 A Statistical Theory of Regularization-Based Continual Learning ICML 2024 A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning CVPR 2024 A Strategic Analysis of Prepayments in Financial Credit Networks IJCAI 2024 A Structure-Aware Framework for Learning Device Placements on Computation Graphs NeurIPS 2024