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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)

CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks AAAI 2022 CCCP is Frank-Wolfe in disguise NeurIPS 2022 CD-split and HPD-split: Efficient Conformal Regions in High Dimensions JMLR 2022 CEM: Machine-Human Chatting Handoff via Causal-Enhance Module EMNLP 2022 Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis NeurIPS 2022 Centroid Approximation for Bootstrap: Improving Particle Quality at Inference ICML 2022 CerDEQ: Certifiable Deep Equilibrium Model ICML 2022 Certifiable Robot Design Optimization using Differentiable Programming RSS 2022 Certified Adversarial Robustness Under the Bounded Support Set ICML 2022 Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking EMNLP 2022 Certified Neural Network Watermarks with Randomized Smoothing ICML 2022 Certified Robustness for Deep Equilibrium Models via Interval Bound Propagation ICLR 2022 Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks AAAI 2022 Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations IJCAI 2022 Certifying Out-of-Domain Generalization for Blackbox Functions ICML 2022 Certifying Some Distributional Fairness with Subpopulation Decomposition NeurIPS 2022 Chained generalisation bounds COLT 2022 Challenging Common Assumptions in Convex Reinforcement Learning NeurIPS 2022 Change point localization in dependent dynamic nonparametric random dot product graphs JMLR 2022 Channel Balancing for Accurate Quantization of Winograd Convolutions CVPR 2022 Channel Pruning via Lookahead Search Guided Reinforcement Learning WACV 2022 Chaotic Dynamics are Intrinsic to Neural Network Training with SGD NeurIPS 2022 Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent NeurIPS 2022 Characterization of Excess Risk for Locally Strongly Convex Population Risk NeurIPS 2022 Characterization of Incentive Compatibility of an Ex-ante Constrained Player AAAI 2022