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Optimization

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Papers

Low-Precision Stochastic Gradient Langevin Dynamics ICML 2022
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization ICML 2022
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance ICML 2022
Dynamic Regret of Online Markov Decision Processes ICML 2022
Global Optimization Networks ICML 2022
Linear Complexity Randomized Self-attention Mechanism ICML 2022
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks ICML 2022
Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization ICML 2022
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features ICML 2022
Model Agnostic Sample Reweighting for Out-of-Distribution Learning ICML 2022
Sparse Invariant Risk Minimization ICML 2022
Probabilistic Bilevel Coreset Selection ICML 2022
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets ICML 2022
VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training ICML 2022
On Numerical Integration in Neural Ordinary Differential Equations ICML 2022
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee ICML 2022
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm ICML 2022
Online Approval Committee Elections IJCAI 2022
Phragmén Rules for Degressive and Regressive Proportionality IJCAI 2022
Forgiving Debt in Financial Network Games IJCAI 2022
Group Wisdom at a Price: Jury Theorems with Costly Information IJCAI 2022
Multiwinner Elections under Minimax Chamberlin-Courant Rule in Euclidean Space IJCAI 2022
Maxmin Participatory Budgeting IJCAI 2022
Strategy Proof Mechanisms for Facility Location with Capacity Limits IJCAI 2022
Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment IJCAI 2022