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Optimization

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Papers

Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time AISTATS 2022
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes AISTATS 2022
Neural score matching for high-dimensional causal inference AISTATS 2022
Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning AISTATS 2022
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference AISTATS 2022
Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis AISTATS 2022
Cycle Consistent Probability Divergences Across Different Spaces AISTATS 2022
Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models AISTATS 2022
Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization AISTATS 2022
Complex Momentum for Optimization in Games AISTATS 2022
Stochastic Extragradient: General Analysis and Improved Rates AISTATS 2022
Deep Non-crossing Quantiles through the Partial Derivative AISTATS 2022
Optimal channel selection with discrete QCQP AISTATS 2022
Mode estimation on matrix manifolds: Convergence and robustness AISTATS 2022
Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence AISTATS 2022
On the Convergence of Continuous Constrained Optimization for Structure Learning AISTATS 2022
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation AISTATS 2022
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization AISTATS 2022
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation AISTATS 2022
Convergence of online k-means AISTATS 2022
A general class of surrogate functions for stable and efficient reinforcement learning AISTATS 2022
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization AISTATS 2022
Variance Minimization in the Wasserstein Space for Invariant Causal Prediction AISTATS 2022
Online Continual Adaptation with Active Self-Training AISTATS 2022
Structured Multi-task Learning for Molecular Property Prediction AISTATS 2022