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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

HOUDINI: Escaping from Moderately Constrained Saddles IJCAI 2023 How a Student becomes a Teacher: learning and forgetting through Spectral methods NeurIPS 2023 How Does Adaptive Optimization Impact Local Neural Network Geometry? NeurIPS 2023 How Does Generative Retrieval Scale to Millions of Passages? EMNLP 2023 How Does Information Bottleneck Help Deep Learning? ICML 2023 How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? AISTATS 2023 How does the task complexity of masked pretraining objectives affect downstream performance? ACL 2023 How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning EMNLP 2023 How do Minimum-Norm Shallow Denoisers Look in Function Space? NeurIPS 2023 How Do You Want Your Greedy: Simultaneous or Repeated? JMLR 2023 How gradient estimator variance and bias impact learning in neural networks ICLR 2023 How I Learned to Stop Worrying and Love Retraining ICLR 2023 How Jellyfish Characterise Alternating Group Equivariant Neural Networks ICML 2023 How Many and Which Training Points Would Need to be Removed to Flip this Prediction? EACL 2023 How many samples are needed to leverage smoothness? NeurIPS 2023 How Much Consistency Is Your Accuracy Worth? EMNLP 2023 How much does Initialization Affect Generalization? ICML 2023 How Powerful are Shallow Neural Networks with Bandlimited Random Weights? ICML 2023 How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench EMNLP 2023 How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts EMNLP 2023 How Sharpness-Aware Minimization Minimizes Sharpness? ICLR 2023 How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning Interspeech 2023 How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey EMNLP 2023 How to Estimate Model Transferability of Pre-Trained Speech Models? Interspeech 2023 How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization NeurIPS 2023