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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)

Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning ICLR 2023 Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes ICML 2023 Misspecification in Inverse Reinforcement Learning AAAI 2023 Mitigating Dataset Bias by Using Per-Sample Gradient ICLR 2023 Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits IJCAI 2023 Mitigating Framing Bias with Polarity Minimization Loss EMNLP 2023 Mitigating Intrinsic Named Entity-Related Hallucinations of Abstractive Text Summarization EMNLP 2023 Mitigating Memorization of Noisy Labels by Clipping the Model Prediction ICML 2023 Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies (Student Abstract) AAAI 2023 Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals NeurIPS 2023 Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling ICML 2023 Mitigating the Burden of Redundant Datasets via Batch-Wise Unique Samples and Frequency-Aware Losses ACL 2023 Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction Interspeech 2023 Mitigating Transformer Overconfidence via Lipschitz Regularization UAI 2023 MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies ACL 2023 Mixed-Effect Thompson Sampling AISTATS 2023 MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction EMNLP 2023 Mixed Linear Regression via Approximate Message Passing AISTATS 2023 Mixed Regression via Approximate Message Passing JMLR 2023 Mixed-Variable Black-Box Optimisation Using Value Proposal Trees AAAI 2023 MixFlows: principled variational inference via mixed flows ICML 2023 Mixing Predictions for Online Metric Algorithms ICML 2023 MixPath: A Unified Approach for One-shot Neural Architecture Search ICCV 2023 Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling AAAI 2023 Mixture Proportion Estimation Beyond Irreducibility ICML 2023