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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 Deep Conjugate Direction Method for Iteratively Solving Linear Systems ICML 2023 ADGym: Design Choices for Deep Anomaly Detection NeurIPS 2023 A Differential Geometric View and Explainability of GNN on Evolving Graphs ICLR 2023 A Distribution Optimization Framework for Confidence Bounds of Risk Measures ICML 2023 Adjective Scale Probe: Can Language Models Encode Formal Semantics Information? AAAI 2023 AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression ACL 2023 AD-TUNING: An Adaptive CHILD-TUNING Approach to Efficient Hyperparameter Optimization of Child Networks for Speech Processing Tasks in the SUPERB Benchmark Interspeech 2023 Advancing Bayesian Optimization via Learning Correlated Latent Space NeurIPS 2023 Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training ICCV 2023 Adversarial Attacks on Adversarial Bandits ICLR 2023 Adversarial De-confounding in Individualised Treatment Effects Estimation AISTATS 2023 Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces NeurIPS 2023 Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness NeurIPS 2023 Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract) IJCAI 2023 Adversarially Robust Learning with Tolerance ALT 2023 Adversarially Robust Learning with Uncertain Perturbation Sets NeurIPS 2023 Adversarially Robust PAC Learnability of Real-Valued Functions ICML 2023 Adversarial Resilience in Sequential Prediction via Abstention NeurIPS 2023 Adversarial Robustness in Discontinuous Spaces via Alternating Sampling & Descent WACV 2023 Adversarial robustness of amortized Bayesian inference ICML 2023 Adversarial Robustness via Random Projection Filters CVPR 2023 Adversarial Training from Mean Field Perspective NeurIPS 2023 Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks AAAI 2023 Advice Querying under Budget Constraint for Online Algorithms NeurIPS 2023 A Dynamical System View of Langevin-Based Non-Convex Sampling NeurIPS 2023