Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model AISTATS 2024 Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions AAAI 2024 PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action NeurIPS 2024 Privacy Preserving Adaptive Experiment Design ICML 2024 Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent ICML 2024 Privacy-Preserving Instructions for Aligning Large Language Models ICML 2024 Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems ICML 2024 Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust NeurIPS 2024 Private Geometric Median NeurIPS 2024 Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation ICML 2024 Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses ICML 2024 Private Language Models via Truncated Laplacian Mechanism EMNLP 2024 Privately Learning Smooth Distributions on the Hypercube by Projections ICML 2024 Private Online Learning via Lazy Algorithms NeurIPS 2024 Private PAC Learning May be Harder than Online Learning ALT 2024 Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NeurIPS 2024 Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages ICML 2024 PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds IJCAI 2024 Proactive DP: A Multiple Target Optimization Framework for DP-SGD ICML 2024 Probabilistic Calibration by Design for Neural Network Regression AISTATS 2024 Probabilistic Constrained Reinforcement Learning with Formal Interpretability ICML 2024 Probabilistic Feature Matching for Fast Scalable Visual Prompting IJCAI 2024 Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization JMLR 2024 Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo ICML 2024 Probabilistic Modeling for Sequences of Sets in Continuous-Time AISTATS 2024