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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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2000
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Papers (including subtopics)

DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference ICML 2023 DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization NeurIPS 2023 DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport ICCV 2023 DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics NeurIPS 2023 DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework NeurIPS 2023 DRCFS: Doubly Robust Causal Feature Selection ICML 2023 DReg-NeRF: Deep Registration for Neural Radiance Fields ICCV 2023 DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks AAAI 2023 Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection NeurIPS 2023 DropCompute: simple and more robust distributed synchronous training via compute variance reduction NeurIPS 2023 DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training ICLR 2023 Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication Complexity AISTATS 2023 Dropout Training is Distributionally Robust Optimal JMLR 2023 Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions ICML 2023 DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm ICML 2023 DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023 DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function ACL 2023 Dual Algorithmic Reasoning ICLR 2023 Dual Focal Loss for Calibration ICML 2023 Dual-Mode NAM: Effective Top-K Context Injection for End-to-End ASR Interspeech 2023 Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons ICML 2023 DualVC: Dual-mode Voice Conversion using Intra-model Knowledge Distillation and Hybrid Predictive Coding Interspeech 2023 DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting NeurIPS 2023 DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation EACL 2023 DynaDojo: An Extensible Platform for Benchmarking Scaling in Dynamical System Identification NeurIPS 2023