Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

When Does Optimizing a Proper Loss Yield Calibration? NeurIPS 2023 When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability NeurIPS 2023 When do Minimax-fair Learning and Empirical Risk Minimization Coincide? ICML 2023 When Do Neural Nets Outperform Boosted Trees on Tabular Data? NeurIPS 2023 When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario ACL 2023 When is Agnostic Reinforcement Learning Statistically Tractable? NeurIPS 2023 When is Realizability Sufficient for Off-Policy Reinforcement Learning? ICML 2023 When Locally Linear Embedding Hits Boundary JMLR 2023 When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations MLHC 2023 When to Make and Break Commitments? ICLR 2023 When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants ACL 2023 Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning ICLR 2023 Which Invariance Should We Transfer? A Causal Minimax Learning Approach ICML 2023 Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks ICLR 2023 Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness NeurIPS 2023 Which Shortcut Solution Do Question Answering Models Prefer to Learn? AAAI 2023 White-Box Transformers via Sparse Rate Reduction NeurIPS 2023 Why adversarial training can hurt robust accuracy ICLR 2023 Why Bother with Geometry? On the Relevance of Linear Decompositions of Transformer Embeddings EMNLP 2023 Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers ACL 2023 Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption AAAI 2023 "Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts ICML 2023 Why Does Sharpness-Aware Minimization Generalize Better Than SGD? NeurIPS 2023 Why does Throwing Away Data Improve Worst-Group Error? ICML 2023 Why do networks have inhibitory/negative connections? ICCV 2023