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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)

No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths ICML 2024 Now You See Me, Now You Don’t: ‘Poverty of the Stimulus’ Problems and Arbitrary Correspondences in End-to-End Speech Models COLING 2024 NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes ACL 2024 NR-Surface: NextG-ready µW-reconfigurable mmWave Metasurface NSDI 2024 Nuclear Norm Regularization for Deep Learning NeurIPS 2024 Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees JMLR 2024 On Learning Deep O(n)-Equivariant Hyperspheres ICML 2024 Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli NeurIPS 2024 Observational Scaling Laws and the Predictability of Langauge Model Performance NeurIPS 2024 Observation-Guided Diffusion Probabilistic Models CVPR 2024 OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step NeurIPS 2024 OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models CoRL 2024 Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality NeurIPS 2024 OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning AAAI 2024 OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer IJCAI 2024 Offline and Online Optical Flow Enhancement for Deep Video Compression AAAI 2024 Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms ICML 2024 Offline Multi-Objective Optimization ICML 2024 Offline Primal-Dual Reinforcement Learning for Linear MDPs AISTATS 2024 Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data COLT 2024 Offline Training of Language Model Agents with Functions as Learnable Weights ICML 2024 Off-policy Evaluation Beyond Overlap: Sharp Partial Identification Under Smoothness ICML 2024 Oja's Algorithm for Streaming Sparse PCA NeurIPS 2024 OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems ACL 2024 Omnipredictors for regression and the approximate rank of convex functions COLT 2024