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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)

AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification AAAI 2023 A Model-Agnostic Heuristics for Selective Classification AAAI 2023 A Model-Based Method for Minimizing CVaR and Beyond ICML 2023 A Model-free Closeness-of-influence Test for Features in Supervised Learning ICML 2023 A Modern Look at the Relationship between Sharpness and Generalization ICML 2023 A More Accurate Internal Language Model Score Estimation for the Hybrid Autoregressive Transducer Interspeech 2023 Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels UAI 2023 Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification MIDL 2023 Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs NeurIPS 2023 A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data AISTATS 2023 ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits AISTATS 2023 An Acoustic Analysis of Fricative Variation in Three Accents of English Interspeech 2023 An Adaptive Algorithm for Learning with Unknown Distribution Drift NeurIPS 2023 An Adaptive Policy to Employ Sharpness-Aware Minimization ICLR 2023 An Algorithm and Complexity Results for Causal Unit Selection CLeaR 2023 An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition NeurIPS 2023 Analysis and automatic prediction of exertion from speech: Contrasting objective and subjective measures collected while running Interspeech 2023 Analysis and Detectability of Offline Data Poisoning Attacks on Linear Dynamical Systems L4DC 2023 Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation ICML 2023 Analysis of Mean Opinion Scores in Subjective Evaluation of Synthetic Speech Based on Tail Probabilities Interspeech 2023 Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels ICML 2023 Analyzing Diffusion as Serial Reproduction ICML 2023 Analyzing Generalization of Neural Networks through Loss Path Kernels NeurIPS 2023 Analyzing Multi-Sentence Aggregation in Abstractive Summarization via the Shapley Value EMNLP 2023 Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods NeurIPS 2023