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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)

Instruction Tuning With Loss Over Instructions NeurIPS 2024 InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models ICML 2024 Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract COLT 2024 Integer Is Enough: When Vertical Federated Learning Meets Rounding AAAI 2024 Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision AAAI 2024 Integrated Hardware Architecture and Device Placement Search ICML 2024 Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning CVPR 2024 Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion NeurIPS 2024 Integrating Uncertainty Awareness into Conformalized Quantile Regression AISTATS 2024 Intensity-Robust Autofocus for Spike Camera CVPR 2024 Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF NAACL 2024 Interaction-Force Transport Gradient Flows NeurIPS 2024 Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning AAAI 2024 InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning ICML 2024 Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning ICLR 2024 InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes ICLR 2024 Interpretable Generalized Additive Models for Datasets with Missing Values NeurIPS 2024 Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors NeurIPS 2024 Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification IJCAI 2024 Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction ICLR 2024 Interpreting and Improving Diffusion Models from an Optimization Perspective ICML 2024 Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL 2024 Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification NeurIPS 2024 INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion Recognition Interspeech 2024 Interventional Causal Discovery in a Mixture of DAGs NeurIPS 2024