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Continuous Optimization

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Sharpened Lazy Incremental Quasi-Newton Method AISTATS 2024
SDEs for Minimax Optimization AISTATS 2024
Parameter-Agnostic Optimization under Relaxed Smoothness AISTATS 2024
Dueling Optimization with a Monotone Adversary ALT 2024
Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization ALT 2024
Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses AISTATS 2024
Vector Quantile Regression on Manifolds AISTATS 2024
Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent AISTATS 2024
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits AISTATS 2024
Optimal Transport for Measures with Noisy Tree Metric AISTATS 2024
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport AISTATS 2024
Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators AISTATS 2024
Graph Machine Learning through the Lens of Bilevel Optimization AISTATS 2024
Efficient Graph Laplacian Estimation by Proximal Newton AISTATS 2024
SpringGrasp: Synthesizing Compliant, Dexterous Grasps under Shape Uncertainty RSS 2024
Linear-time Differential Inverse Kinematics: an Augmented Lagrangian Perspective RSS 2024
OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees CVPR 2024
A faster and simpler algorithm for learning shallow networks COLT 2024
A Framework for Bilevel Optimization on Riemannian Manifolds NIPS 2024
Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation NIPS 2024
Constant Acceleration Flow NIPS 2024
Decision-Focused Learning with Directional Gradients NIPS 2024
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms NIPS 2024
Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints NIPS 2024