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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)

Theoretical Study on Multi-objective Heuristic Search IJCAI 2024 Theoretical Understanding of Learning from Adversarial Perturbations ICLR 2024 The Orthogonality of Weight Vectors: The Key Characteristics of Normalization and Residual Connections IJCAI 2024 Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024 The power of an adversary in Glauber dynamics COLT 2024 The Power of Extrapolation in Federated Learning NeurIPS 2024 The Power of Hard Attention Transformers on Data Sequences: A formal language theoretic perspective NeurIPS 2024 The Power of Resets in Online Reinforcement Learning NeurIPS 2024 The Predicted-Updates Dynamic Model: Offline, Incremental, and Decremental to Fully Dynamic Transformations COLT 2024 The Price of Adaptivity in Stochastic Convex Optimization COLT 2024 The Price of Implicit Bias in Adversarially Robust Generalization NeurIPS 2024 The Privacy Power of Correlated Noise in Decentralized Learning ICML 2024 The Promise of Serverless Computing within Peer-to-Peer Architectures for Distributed ML Training AAAI 2024 The Real Price of Bandit Information in Multiclass Classification COLT 2024 There Are No Shortcuts to Anywhere Worth Going: Identifying Shortcuts in Deep Learning Models for Medical Image Analysis MIDL 2024 The Relative Clauses AMR Parsers Hate Most COLING 2024 The Relative Gaussian Mechanism and its Application to Private Gradient Descent AISTATS 2024 The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems NeurIPS 2024 The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A” ICLR 2024 The Road Less Scheduled NeurIPS 2024 The Role of Learning Algorithms in Collective Action ICML 2024 The Role of n-gram Smoothing in the Age of Neural Networks NAACL 2024 The Role of Over-Parameterization in Machine Learning – the Good, the Bad, the Ugly AAAI 2024 The role of randomness in quantum state certification with unentangled measurements COLT 2024 The Sample-Communication Complexity Trade-off in Federated Q-Learning NeurIPS 2024