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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)

Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models NeurIPS 2024 Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning ICML 2024 Bridging OOD Detection and Generalization: A Graph-Theoretic View NeurIPS 2024 Bridging the Divide: Reconsidering Softmax and Linear Attention NeurIPS 2024 Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length ACL 2024 Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization COLT 2024 Bridging the Preference Gap between Retrievers and LLMs ACL 2024 BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics ICLR 2024 Budget-Constrained Tool Learning with Planning ACL 2024 Building a stable classifier with the inflated argmax NeurIPS 2024 Building Expressive and Tractable Probabilistic Generative Models: A Review IJCAI 2024 Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers NeurIPS 2024 Building Optimal Neural Architectures using Interpretable Knowledge CVPR 2024 Building Socially-Equitable Public Models ICML 2024 Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression ICLR 2024 ByMI: Byzantine Machine Identification with False Discovery Rate Control ICML 2024 Bypassing the ASP Bottleneck: Hybrid Grounding by Splitting and Rewriting IJCAI 2024 Byzantine Resilient and Fast Federated Few-Shot Learning ICML 2024 Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping CVPR 2024 Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation AAAI 2024 Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates ICML 2024 Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NeurIPS 2024 C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video CVPR 2024 CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference AISTATS 2024 CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling ICLR 2024