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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)

Dirichlet process mixture model based on topologically augmented signal representation for clustering infant vocalizations Interspeech 2024 Discerning Temporal Difference Learning AAAI 2024 DISCO: Distributed Inference With Sparse Communications WACV 2024 DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling AAAI 2024 Discounted Adaptive Online Learning: Towards Better Regularization ICML 2024 Discovering Agents (Abstract Reprint) AAAI 2024 Discovering Preference Optimization Algorithms with and for Large Language Models NeurIPS 2024 Discovering Sequential Patterns with Predictable Inter-event Delays AAAI 2024 Discrete Flow Matching NeurIPS 2024 Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024 Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods AISTATS 2024 Discriminator Guidance for Autoregressive Diffusion Models AISTATS 2024 Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser AAAI 2024 Disentangling Age and Identity with a Mutual Information Minimization for Cross-Age Speaker Verification Interspeech 2024 Disentangling and mitigating the impact of task similarity for continual learning NeurIPS 2024 Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems NeurIPS 2024 Disjoint Partial Enumeration without Blocking Clauses AAAI 2024 Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction ACL 2024 Dissecting Query-Key Interaction in Vision Transformers NeurIPS 2024 Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI ICLR 2024 Dissecting the Failure of Invariant Learning on Graphs NeurIPS 2024 Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers NeurIPS 2024 Dissimilarity Bandits AISTATS 2024 Distance-Aware Non-IID Federated Learning for Generalization and Personalization in Medical Imaging Segmentation MIDL 2024 Distances for Markov Chains, and Their Differentiation ALT 2024