Yifei Wang - RankMe

27 papers A* 5B 1Journal 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Overparameterized ReLU Neural Networks Learn the Simplest Model: Neural Isometry and Phase Transitions. IEEE Trans. Inf. Theory Yifei Wang, Yixuan Hua, Emmanuel J. Candès, Mert Pilanci
2024	B	`conf`	A Circuit Approach to Constructing Blockchains on Blockchains. AFT Ertem Nusret Tas, David Tse, Yifei Wang
2024	J	`jnl`	A Circuit Approach to Constructing Blockchains on Blockchains. CoRR Ertem Nusret Tas, David Tse, Yifei Wang
2024	J	`jnl`	A Library of Mirrors: Deep Neural Nets in Low Dimensions are Convex Lasso Models with Reflection Features. CoRR Emi Zeger, Yifei Wang, Aaron Mishkin, Tolga Ergen, Emmanuel J. Candès, Mert Pilanci
2024	J	`jnl`	Correction to: Sketching the Krylov subspace: faster computation of the entire ridge regularization path. J. Supercomput. Yifei Wang, Mert Pilanci
2024	J	`jnl`	Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization. SIAM J. Math. Data Sci. Yifei Wang, Peng Chen, Mert Pilanci, Wuchen Li
2024	J	`jnl`	Randomized Geometric Algebra Methods for Convex Neural Networks. CoRR Yifei Wang, Sungyoon Kim, Paul Chu, Indu Subramaniam, Mert Pilanci
2023	J	`jnl`	A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming. SIAM J. Optim. Yifei Wang, Kangkang Deng, Haoyang Liu, Zaiwen Wen
2023	A*	`conf`	Parallel Deep Neural Networks Have Zero Duality Gap. ICLR Yifei Wang, Tolga Ergen, Mert Pilanci
2023	J	`jnl`	Polynomial-Time Solutions for ReLU Network Training: A Complexity Classification via Max-Cut and Zonotopes. CoRR Yifei Wang, Mert Pilanci
2023	J	`jnl`	Sketching the Krylov subspace: faster computation of the entire ridge regularization path. J. Supercomput. Yifei Wang, Mert Pilanci
2022	J	`jnl`	A stochastic Stein Variational Newton method. CoRR Alex Leviyev, Joshua Chen, Yifei Wang, Omar Ghattas, Aaron Zimmerman
2022	A*	`conf`	Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits. NeurIPS Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse
2022	J	`jnl`	Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits. CoRR Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse
2022	J	`jnl`	Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization. CoRR Yifei Wang, Peng Chen, Mert Pilanci, Wuchen Li
2022	J	`jnl`	Projected Wasserstein Gradient Descent for High-Dimensional Bayesian Inference. SIAM/ASA J. Uncertain. Quantification Yifei Wang, Peng Chen, Wuchen Li
2022	J	`jnl`	ReLU Neural Networks Learn the Simplest Models: Neural Isometry and Exact Recovery. CoRR Yifei Wang, Yixuan Hua, Emmanuel J. Candès, Mert Pilanci
2022	A*	`conf`	The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program. ICLR Yifei Wang, Mert Pilanci
2022	A*	`conf`	The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions. ICLR Yifei Wang, Jonathan Lacotte, Mert Pilanci
2021	A*	`conf`	Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality. ICML Jonathan Lacotte, Yifei Wang, Mert Pilanci
2021	J	`jnl`	Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality. CoRR Jonathan Lacotte, Yifei Wang, Mert Pilanci
2021	J	`jnl`	Parallel Deep Neural Networks Have Zero Duality Gap. CoRR Yifei Wang, Tolga Ergen, Mert Pilanci
2021	J	`jnl`	Projected Wasserstein gradient descent for high-dimensional Bayesian inference. CoRR Yifei Wang, Peng Chen, Wuchen Li
2021	J	`jnl`	Search Direction Correction with Normalized Gradient Makes First-Order Methods Faster. SIAM J. Sci. Comput. Yifei Wang, Zeyu Jia, Zaiwen Wen
2021	J	`jnl`	The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program. CoRR Yifei Wang, Mert Pilanci
2020	J	`jnl`	Information Newton's flow: second-order optimization method in probability space. CoRR Yifei Wang, Wuchen Li
2019	J	`jnl`	Accelerated Information Gradient flow. CoRR Yifei Wang, Wuchen Li