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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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'25

Papers (including subtopics)

Improved Algorithms for Misspecified Linear Markov Decision Processes AISTATS 2022 Improved Algorithms for Neural Active Learning NeurIPS 2022 Improved analysis for a proximal algorithm for sampling COLT 2022 Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions NeurIPS 2022 Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation ICML 2022 Improved Classification Rates for Localized SVMs JMLR 2022 Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to Optimization NeurIPS 2022 Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning ICML 2022 Improved Fine-Tuning by Better Leveraging Pre-Training Data NeurIPS 2022 Improved Generalization Bounds for Adversarially Robust Learning JMLR 2022 Improved Imaging by Invex Regularizers with Global Optima Guarantees NeurIPS 2022 Improved Maximin Guarantees for Subadditive and Fractionally Subadditive Fair Allocation Problem AAAI 2022 Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting ACL 2022 Improved Pure Exploration in Linear Bandits with No-Regret Learning IJCAI 2022 Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data ICML 2022 Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning EMNLP 2022 Improved Utility Analysis of Private CountSketch NeurIPS 2022 Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters ICML 2022 Improving abstractive summarization with energy-based re-ranking EMNLP 2022 Improving Bayesian Network Structure Learning in the Presence of Measurement Error JMLR 2022 Improving Certified Robustness via Statistical Learning with Logical Reasoning NeurIPS 2022 Improving Deliberation by Text-Only and Semi-Supervised Training Interspeech 2022 Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual Information L4DC 2022 Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation ICML 2022 Improving Evidential Deep Learning via Multi-Task Learning AAAI 2022