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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)

The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning NeurIPS 2023 The Benefits of Mixup for Feature Learning ICML 2023 The Benefits of Model-Based Generalization in Reinforcement Learning ICML 2023 The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond ICML 2023 The case for 4-bit precision: k-bit Inference Scaling Laws ICML 2023 The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks NeurIPS 2023 The communication cost of security and privacy in federated frequency estimation AISTATS 2023 The Complexity of Markov Equilibrium in Stochastic Games COLT 2023 The Computational Complexity of Concise Hypersphere Classification ICML 2023 The Computational Complexity of Finding Stationary Points in Non-Convex Optimization COLT 2023 The Crucial Role of Normalization in Sharpness-Aware Minimization NeurIPS 2023 The Curious Case of Benign Memorization ICLR 2023 The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model NeurIPS 2023 The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation ACL 2023 The Differentiable Lens: Compound Lens Search Over Glass Surfaces and Materials for Object Detection CVPR 2023 The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining EMNLP 2023 The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks IJCAI 2023 The Dormant Neuron Phenomenon in Deep Reinforcement Learning ICML 2023 The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks NeurIPS 2023 The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima JMLR 2023 The Economics of Machine Learning IJCAI 2023 The Edge of Orthogonality: A Simple View of What Makes BYOL Tick ICML 2023 The Effect of Diversity in Meta-Learning AAAI 2023 The Effect of Preferences in Abstract Argumentation under a Claim-Centric View AAAI 2023 The ELBO of Variational Autoencoders Converges to a Sum of Entropies AISTATS 2023