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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)

The complexity of approximate (coarse) correlated equilibrium for incomplete information games COLT 2024 The Complexity of Computing Robust Mediated Equilibria in Ordinal Games AAAI 2024 The Computational Complexity of Finding Second-Order Stationary Points ICML 2024 The Consensus Game: Language Model Generation via Equilibrium Search ICLR 2024 The Dimension of Self-Directed Learning ALT 2024 The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization NeurIPS 2024 The Effective Horizon Explains Deep RL Performance in Stochastic Environments ICLR 2024 The Effect of Data Partitioning Strategy on Model Generalizability: A Case Study of Morphological Segmentation NAACL 2024 The Effect of Generalisation on the Inadequacy of the Mode EACL 2024 The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images ICLR 2024 The effect of Leaky ReLUs on the training and generalization of overparameterized networks AISTATS 2024 The Effect of Sampling Temperature on Problem Solving in Large Language Models EMNLP 2024 The Effect of Weight Precision on the Neuron Count in Deep ReLU Networks ICML 2024 The Elephant in the Room: Ten Challenges of Computational Detection of Rhetorical Figures NAACL 2024 The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark NeurIPS 2024 The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof NeurIPS 2024 The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024 The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank AAAI 2024 The Expressive Capacity of State Space Models: A Formal Language Perspective NeurIPS 2024 The Expressive Power of Transformers with Chain of Thought ICLR 2024 The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More NeurIPS 2024 The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks NeurIPS 2024 The Fine-Grained Complexity of Gradient Computation for Training Large Language Models NeurIPS 2024 The Galerkin method beats Graph-Based Approaches for Spectral Algorithms AISTATS 2024 The GAN is dead; long live the GAN! A Modern GAN Baseline NeurIPS 2024