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Optimization

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Papers

Conformal Contextual Robust Optimization AISTATS 2024
Large-Scale Gaussian Processes via Alternating Projection AISTATS 2024
Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers AISTATS 2024
Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets AISTATS 2024
Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression AISTATS 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models AISTATS 2024
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification AISTATS 2024
Electronic Medical Records Assisted Digital Clinical Trial Design AISTATS 2024
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods AISTATS 2024
End-to-end Feature Selection Approach for Learning Skinny Trees AISTATS 2024
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging AISTATS 2024
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits AISTATS 2024
Pessimistic Off-Policy Multi-Objective Optimization AISTATS 2024
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024
The Relative Gaussian Mechanism and its Application to Private Gradient Descent AISTATS 2024
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024
Offline Primal-Dual Reinforcement Learning for Linear MDPs AISTATS 2024
General Tail Bounds for Non-Smooth Stochastic Mirror Descent AISTATS 2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints AISTATS 2024
Score Operator Newton transport AISTATS 2024
Optimal Budgeted Rejection Sampling for Generative Models AISTATS 2024
Discriminator Guidance for Autoregressive Diffusion Models AISTATS 2024
Resilient Constrained Reinforcement Learning AISTATS 2024
Communication-Efficient Federated Learning With Data and Client Heterogeneity AISTATS 2024