Mahesh Chandra Mukkamala

14 papers A* 3Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Global convergence of model function based Bregman proximal minimization algorithms. J. Glob. Optim. Mahesh Chandra Mukkamala, Jalal Fadili, Peter Ochs
2021	—	`conf`	Bregman Proximal Gradient Algorithms for Deep Matrix Factorization. SSVM Mahesh Chandra Mukkamala, Felix Westerkamp, Emanuel Laude, Daniel Cremers, Peter Ochs
2020	J	`jnl`	Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Nonconvex Optimization. SIAM J. Math. Data Sci. Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach
2020	J	`jnl`	Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms. CoRR Mahesh Chandra Mukkamala, Jalal Fadili, Peter Ochs
2019	A*	`conf`	Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms. NeurIPS Mahesh Chandra Mukkamala, Peter Ochs
2019	J	`jnl`	Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms. CoRR Mahesh Chandra Mukkamala, Peter Ochs
2019	J	`jnl`	Bregman Proximal Framework for Deep Linear Neural Networks. CoRR Mahesh Chandra Mukkamala, Felix Westerkamp, Emanuel Laude, Daniel Cremers, Peter Ochs
2019	J	`jnl`	Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization. CoRR Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach
2019	—	`conf`	On the loss landscape of a class of deep neural networks with no bad local valleys. ICLR (Poster) Quynh Nguyen, Mahesh Chandra Mukkamala, Matthias Hein
2018	A*	`conf`	Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions. ICML Quynh Nguyen, Mahesh Chandra Mukkamala, Matthias Hein
2018	J	`jnl`	Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions. CoRR Quynh Nguyen, Mahesh Chandra Mukkamala, Matthias Hein
2018	J	`jnl`	On the loss landscape of a class of deep neural networks with no bad local valleys. CoRR Quynh Nguyen, Mahesh Chandra Mukkamala, Matthias Hein
2017	A*	`conf`	Variants of RMSProp and Adagrad with Logarithmic Regret Bounds. ICML Mahesh Chandra Mukkamala, Matthias Hein
2017	J	`jnl`	Variants of RMSProp and Adagrad with Logarithmic Regret Bounds. CoRR Mahesh Chandra Mukkamala, Matthias Hein