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Optimization

1203 directly classified papers

Papers per year

Papers

Penalizing Divergence: Multi-Parallel Translation for Low-Resource Languages of North America COLING 2022
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems ICML 2022
The power of first-order smooth optimization for black-box non-smooth problems ICML 2022
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity ICML 2022
SGD with Coordinate Sampling: Theory and Practice JMLR 2022
On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems JMLR 2022
Explicit Convergence Rates of Greedy and Random Quasi-Newton Methods JMLR 2022
Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence JMLR 2022
A Unifying Framework for Variance-Reduced Algorithms for Findings Zeroes of Monotone operators JMLR 2022
Inferring Multiple Tissue Properties from Magnetic Resonance Fingerprinting Images AAAI 2022
Optimality and Stability in Non-Convex Smooth Games JMLR 2022
Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization ICML 2022
Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence AAAI 2022
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows AAAI 2022
Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems AAAI 2022
Learning to Search in Local Branching AAAI 2022
Mappings for Marginal Probabilities with Applications to Models in Statistical Physics JMLR 2022
A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes AAAI 2022
Towards Automated Discovery of God-Like Folk Algorithms for Rubik’s Cube AAAI 2022
I AM A.I. Gradient Descent – an Open-Source Digital Game for Inquiry-Based CLIL Learning AAAI 2022
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out ICML 2022
Iterative Double Sketching for Faster Least-Squares Optimization ICML 2022
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets ICML 2022
Learning to Solve PDE-constrained Inverse Problems with Graph Networks ICML 2022
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions ICML 2022