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Optimization

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Papers

Optimal Nonlinearities Improve Generalization Performance of Random Features ACML 2023
Outlier Robust Adversarial Training ACML 2023
Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting ACML 2023
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation ACML 2023
Detecting and Repairing Deviated Outputs of Compressed Models ACML 2023
A Mixed-Precision Quantization Method without Accuracy Degradation Using Semilayers ACML 2023
Discovering Many Diverse Solutions with Bayesian Optimization AISTATS 2023
Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate AISTATS 2023
Particle algorithms for maximum likelihood training of latent variable models AISTATS 2023
The Schrödinger Bridge between Gaussian Measures has a Closed Form AISTATS 2023
Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation AISTATS 2023
PAC Learning of Halfspaces with Malicious Noise in Nearly Linear Time AISTATS 2023
Entropic Risk Optimization in Discounted MDPs AISTATS 2023
An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk Minimization AISTATS 2023
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods AISTATS 2023
Bayesian Variable Selection in a Million Dimensions AISTATS 2023
A Case of Exponential Convergence Rates for SVM AISTATS 2023
Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity AISTATS 2023
A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space AISTATS 2023
Optimal and Private Learning from Human Response Data AISTATS 2023
Bayesian Optimization with Conformal Prediction Sets AISTATS 2023
Alternating Projected SGD for Equality-constrained Bilevel Optimization AISTATS 2023
Can 5th Generation Local Training Methods Support Client Sampling? Yes! AISTATS 2023
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization AISTATS 2023
Sequential Gradient Descent and Quasi-Newton’s Method for Change-Point Analysis AISTATS 2023