conftrace_

Mathematics & Optimization

19,283 papers (0 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (14,850) Mathematics (6,356) Probability (617) Statistics (361) Discrete Mathematics (23)

Papers per year

1

2

8

13

8

24

100

100

125

139

182

227

311

530

574

599

676

880

1,053

1,491

1,739

1,880

1,904

2,070

2,345

1,785

517

2000

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Papers (including subtopics)

Preferred Reasoning in ABA by Cycle-Breaking IJCAI 2024 Pricing and Competition for Generative AI NeurIPS 2024 Pricing with Contextual Elasticity and Heteroscedastic Valuation ICML 2024 Principal-Agent Reward Shaping in MDPs AAAI 2024 Principal Component Analysis as a Sanity Check for Bayesian Phylolinguistic Reconstruction COLING 2024 Principal eigenstate classical shadows COLT 2024 Principle Component Trees and Their Persistent Homology AAAI 2024 Principled Preferential Bayesian Optimization ICML 2024 PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses ICML 2024 PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model AISTATS 2024 Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions AAAI 2024 Privacy-Aware Randomized Quantization via Linear Programming UAI 2024 Privacy Preserving Adaptive Experiment Design ICML 2024 Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent ICML 2024 Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry NeurIPS 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 Privately Learning Smooth Distributions on the Hypercube by Projections ICML 2024 Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NeurIPS 2024 Private Truly-Everlasting Robust-Prediction ICML 2024 Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages ICML 2024 Private Zeroth-Order Nonsmooth Nonconvex Optimization ICLR 2024