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Mathematics & Optimization

16,944 papers (0 classified directly here)

Subtopics

Optimization (12,959) Mathematics (5,735) Probability (519) Statistics (265) Discrete Mathematics (15)

Papers per year

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Papers (including subtopics)

Incremental Aggregated Riemannian Gradient Method for Distributed PCA AISTATS 2023
Online Linearized LASSO AISTATS 2023
One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits AISTATS 2023
Fast Feature Selection with Fairness Constraints AISTATS 2023
On the Complexity of Representation Learning in Contextual Linear Bandits AISTATS 2023
Revisiting Weighted Strategy for Non-stationary Parametric Bandits AISTATS 2023
No time to waste: practical statistical contact tracing with few low-bit messages AISTATS 2023
Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions AISTATS 2023
Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games AISTATS 2023
Online Algorithms with Costly Predictions AISTATS 2023
Adaptive Tuning for Metropolis Adjusted Langevin Trajectories AISTATS 2023
Further Adaptive Best-of-Both-Worlds Algorithm for Combinatorial Semi-Bandits AISTATS 2023
PAC-Bayesian Learning of Optimization Algorithms AISTATS 2023
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty AISTATS 2023
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery AISTATS 2023
Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data AISTATS 2023
Overparameterized Random Feature Regression with Nearly Orthogonal Data AISTATS 2023
Scalable Unbalanced Sobolev Transport for Measures on a Graph AISTATS 2023
Discrete Distribution Estimation under User-level Local Differential Privacy AISTATS 2023
Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints AISTATS 2023
Nonstochastic Contextual Combinatorial Bandits AISTATS 2023
Preferential Subsampling for Stochastic Gradient Langevin Dynamics AISTATS 2023
Federated Learning for Data Streams AISTATS 2023
Learning to Optimize with Stochastic Dominance Constraints AISTATS 2023
Second Order Path Variationals in Non-Stationary Online Learning AISTATS 2023