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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)

In Defense of the Unitary Scalarization for Deep Multi-Task Learning NeurIPS 2022 Independence-based Joint Dereverberation and Separation with Neural Source Model Interspeech 2022 Independence Testing for Bounded Degree Bayesian Networks NeurIPS 2022 Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking ICLR 2022 Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples NeurIPS 2022 Individual Fairness Guarantees for Neural Networks IJCAI 2022 Individual Representation in Approval-Based Committee Voting AAAI 2022 Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence NeurIPS 2022 Inductive Biases and Variable Creation in Self-Attention Mechanisms ICML 2022 Inductive Bias of Gradient Descent for Weight Normalized Smooth Homogeneous Neural Nets ALT 2022 Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm COLT 2022 Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm ICML 2022 Inference and Learning with Model Uncertainty in Probabilistic Logic Programs AAAI 2022 Inferring Cause and Effect in the Presence of Heteroscedastic Noise ICML 2022 Inferring Multiple Tissue Properties from Magnetic Resonance Fingerprinting Images AAAI 2022 Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations AISTATS 2022 Infinite SCAN: An Infinite Model of Diachronic Semantic Change EMNLP 2022 Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems ICML 2022 Influence Functions for Sequence Tagging Models EMNLP 2022 InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering CVPR 2022 Information Bottleneck: Exact Analysis of (Quantized) Neural Networks ICLR 2022 Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality NeurIPS 2022 Information Discrepancy in Strategic Learning ICML 2022 Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning AISTATS 2022 Information-Theoretic Bias Reduction via Causal View of Spurious Correlation AAAI 2022