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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)

Boosting Single Image Super-Resolution via Partial Channel Shifting ICCV 2023 Boosting Summarization with Normalizing Flows and Aggressive Training EMNLP 2023 Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs ICLR 2023 Boosting Verified Training for Robust Image Classifications via Abstraction CVPR 2023 Boosting with Tempered Exponential Measures NeurIPS 2023 Boost Transformer-based Language Models with GPU-Friendly Sparsity and Quantization ACL 2023 Bootstrap in High Dimension with Low Computation ICML 2023 Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint ICLR 2023 Bottleneck Structure in Learned Features: Low-Dimension vs Regularity Tradeoff NeurIPS 2023 Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces NeurIPS 2023 Boundary Graph Neural Networks for 3D Simulations AAAI 2023 Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary CVPR 2023 Bounding Evidence and Estimating Log-Likelihood in VAE AISTATS 2023 Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract) IJCAI 2023 Bounding training data reconstruction in DP-SGD NeurIPS 2023 BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models ICML 2023 BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization NeurIPS 2023 Branch-Price-and-Cut for Causal Discovery CLeaR 2023 Brauer’s Group Equivariant Neural Networks ICML 2023 BREAK: Breaking the Dialogue State Tracking Barrier with Beam Search and Re-ranking ACL 2023 Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum Model AISTATS 2023 Breaking the Communication-Privacy-Accuracy Tradeoff with f-Differential Privacy NeurIPS 2023 Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation COLT 2023 Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise COLT 2023 Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection EMNLP 2023