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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)

Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures? UAI 2023 Quantifying Context Mixing in Transformers EACL 2023 Quantifying lottery tickets under label noise: accuracy, calibration, and complexity UAI 2023 Quantifying the Cost of Learning in Queueing Systems NeurIPS 2023 Quantifying Train-Evaluation Overlap with Nearest Neighbors ACL 2023 Quantile Credit Assignment ICML 2023 Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions ICLR 2023 Quantitative Universal Approximation Bounds for Deep Belief Networks ICML 2023 Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks AAAI 2023 Quantized Compressed Sensing with Score-Based Generative Models ICLR 2023 Quantized Distributed Training of Large Models with Convergence Guarantees ICML 2023 QuAnt: Quantum Annealing with Learnt Couplings ICLR 2023 Quantum Channel Certification with Incoherent Measurements COLT 2023 QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms ICML 2023 Quantum-Inspired Representation for Long-Tail Senses of Word Sense Disambiguation AAAI 2023 Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets AAAI 2023 Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation ICML 2023 Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates UAI 2023 Quasi-Equivalence between Width and Depth of Neural Networks JMLR 2023 Quasi-Monte Carlo Graph Random Features NeurIPS 2023 Query-Efficient Black-Box Red Teaming via Bayesian Optimization ACL 2023 QuIP: 2-Bit Quantization of Large Language Models With Guarantees NeurIPS 2023 R2Former: Unified Retrieval and Reranking Transformer for Place Recognition CVPR 2023 Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice ICML 2023 Random Cuts are Optimal for Explainable k-Medians NeurIPS 2023