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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)

Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient ICML 2024 Doubly Robust Instance-Reweighted Adversarial Training ICLR 2024 Doubly Robust Proximal Causal Learning for Continuous Treatments ICLR 2024 Do we EXPECT TO find phonetic traces for syntactic traces? Interspeech 2024 Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation EMNLP 2024 DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction) AAAI 2024 DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models ACL 2024 DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems ICML 2024 DP-SGD Without Clipping: The Lipschitz Neural Network Way ICLR 2024 DPZero: Private Fine-Tuning of Language Models without Backpropagation ICML 2024 Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity EMNLP 2024 Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization NeurIPS 2024 DREAM: Diffusion Rectification and Estimation-Adaptive Models CVPR 2024 DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation ECCV 2024 DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation ICLR 2024 Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-Training via Differentiable Rendering of Line Segments CVPR 2024 Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data NeurIPS 2024 DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation NeurIPS 2024 Dropout Enhanced Bilevel Training ICLR 2024 Dropout Regularization Versus l2-Penalization in the Linear Model JMLR 2024 DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? AAAI 2024 DsDm: Model-Aware Dataset Selection with Datamodels ICML 2024 DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs NeurIPS 2024 Dual Cone Gradient Descent for Training Physics-Informed Neural Networks NeurIPS 2024 Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction Interspeech 2024