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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)

Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt ICML 2022 PRISM: Probabilistic Real-Time Inference in Spatial World Models CoRL 2022 PRISM: Recurrent Neural Networks and Presolve Methods for Fast Mixed-integer Optimal Control L4DC 2022 Privacy Amplification by Decentralization AISTATS 2022 Privacy Implications of Shuffling ICLR 2022 Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation NeurIPS 2022 Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss NeurIPS 2022 Private Adaptive Optimization with Side information ICML 2022 Private and Communication-Efficient Algorithms for Entropy Estimation NeurIPS 2022 Private and polynomial time algorithms for learning Gaussians and beyond COLT 2022 Private Convex Optimization via Exponential Mechanism COLT 2022 Private Estimation with Public Data NeurIPS 2022 Private High-Dimensional Hypothesis Testing COLT 2022 Private Matrix Approximation and Geometry of Unitary Orbits COLT 2022 Private optimization in the interpolation regime: faster rates and hardness results ICML 2022 Private Rank Aggregation in Central and Local Models AAAI 2022 Private Robust Estimation by Stabilizing Convex Relaxations COLT 2022 Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size AISTATS 2022 Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited IJCAI 2022 Privid: Practical, Privacy-Preserving Video Analytics Queries NSDI 2022 Proactive slip control by learned slip model and trajectory adaptation CoRL 2022 Probabilistic Adaptive Spatial-Temporal Regularized Correlation Filters for UAV Tracking ACML 2022 Probabilistically Robust Learning: Balancing Average and Worst-case Performance ICML 2022 Probabilistic Bilevel Coreset Selection ICML 2022 Probabilistic Fusion of Neural Networks that Incorporates Global Information ACML 2022