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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)

Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation ACL 2023 Bregman Deviations of Generic Exponential Families COLT 2023 Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework ACL 2023 Bridge the Inference Gaps of Neural Processes via Expectation Maximization ICLR 2023 Bridging Discrete and Backpropagation: Straight-Through and Beyond NeurIPS 2023 Bridging Information-Theoretic and Geometric Compression in Language Models EMNLP 2023 Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection CVPR 2023 Bridging RL Theory and Practice with the Effective Horizon NeurIPS 2023 Bridging the Gap between Pre-Training and Fine-Tuning for Commonsense Generation EACL 2023 Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs NeurIPS 2023 Broken Neural Scaling Laws ICLR 2023 BubbleML: A Multiphase Multiphysics Dataset and Benchmarks for Machine Learning NeurIPS 2023 Buffered Asynchronous SGD for Byzantine Learning JMLR 2023 Building Accurate Low Latency ASR for Streaming Voice Search in E-commerce ACL 2023 Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach ICCV 2023 Building Normalizing Flows with Stochastic Interpolants ICLR 2023 Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning EMNLP 2023 Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark NeurIPS 2023 BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics ACL 2023 But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI AISTATS 2023 BUT Systems for IWSLT 2023 Marathi - Hindi Low Resource Speech Translation Task ACL 2023 Buying Information for Stochastic Optimization ICML 2023 Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits NeurIPS 2023 Byzantine-Robust Federated Learning with Optimal Statistical Rates AISTATS 2023 Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023