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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Tokenization Falling Short: On Subword Robustness in Large Language Models EMNLP 2024 Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models ICML 2024 Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer CVPR 2024 Token-wise Influential Training Data Retrieval for Large Language Models ACL 2024 Tolerant Algorithms for Learning with Arbitrary Covariate Shift NeurIPS 2024 Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion IJCAI 2024 Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies ACL 2024 ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search ICLR 2024 Top-K ranking with a monotone adversary COLT 2024 Topic Modeling as Multi-Objective Contrastive Optimization ICLR 2024 Topological Expressivity of ReLU Neural Networks COLT 2024 Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms NeurIPS 2024 Topological obstruction to the training of shallow ReLU neural networks NeurIPS 2024 To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models AISTATS 2024 Total Variation Distance Meets Probabilistic Inference ICML 2024 To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning EMNLP 2024 Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024 Toward a Manifold-Preserving Temporal Graph Network in Hyperbolic Space IJCAI 2024 Toward Conditional Distribution Calibration in Survival Prediction NeurIPS 2024 Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models NeurIPS 2024 Toward In-Context Teaching: Adapting Examples to Students’ Misconceptions ACL 2024 Towards a Better Theoretical Understanding of Independent Subnetwork Training ICML 2024 Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL AISTATS 2024 Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization IJCAI 2024 Towards a Similarity-adjusted Surprisal Theory EMNLP 2024