Adrian Vladu - RankMe

55 papers A* 20A 3B 2Journal 29Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Approximating q → p Norms of Non-Negative Matrices in Nearly-Linear Time. STACS Étienne Objois, Adrian Vladu
2026	A	`conf`	Fixed-Parameter Tractable Submodular Maximization over a Matroid. ITCS Shamisa Nematollahi, Adrian Vladu, Junyao Zhao
2025	J	`jnl`	Adaptive Sparsification for Linear Programming. CoRR Étienne Objois, Adrian Vladu
2025	J	`jnl`	Approximating q → p Norms of Non-Negative Matrices in Nearly-Linear Time. CoRR Étienne Objois, Adrian Vladu
2025	A*	`conf`	Breaking the Barrier of Self-Concordant Barriers: Faster Interior Point Methods for M-Matrices. STOC Adrian Vladu
2025	J	`jnl`	Breaking the Barrier of Self-Concordant Barriers: Faster Interior Point Methods for M-Matrices. CoRR Adrian Vladu
2025	J	`jnl`	Fixed-Parameter Tractable Submodular Maximization over a Matroid. CoRR Shamisa Nematollahi, Adrian Vladu, Junyao Zhao
2025	J	`jnl`	Improved ℓ CoRR Alina Ene, Ta Duy Nguyen, Adrian Vladu
2025	J	`jnl`	Quasi-Self-Concordant Optimization with Lewis Weights. CoRR Alina Ene, Ta Duy Nguyen, Adrian Vladu
2025	A	`conf`	Solving Linear Programs with Differential Privacy. APPROX/RANDOM Alina Ene, Huy Le Nguyen, Ta Duy Nguyen, Adrian Vladu
2025	J	`jnl`	Solving Linear Programs with Differential Privacy. CoRR Alina Ene, Huy L. Nguyen, Ta Duy Nguyen, Adrian Vladu
2023	A*	`conf`	CrAM: A Compression-Aware Minimizer. ICLR Alexandra Peste, Adrian Vladu, Eldar Kurtic, Christoph H. Lampert, Dan Alistarh
2023	A*	`conf`	Discrepancy Minimization via Regularization. SODA Lucas Pesenti, Adrian Vladu
2023	A*	`conf`	Interior Point Methods with a Gradient Oracle. STOC Adrian Vladu
2023	J	`jnl`	Interior Point Methods with a Gradient Oracle. CoRR Adrian Vladu
2023	A*	`conf`	Quantized Distributed Training of Large Models with Convergence Guarantees. ICML Ilia Markov, Adrian Vladu, Qi Guo, Dan Alistarh
2023	J	`jnl`	Quantized Distributed Training of Large Models with Convergence Guarantees. CoRR Ilia Markov, Adrian Vladu, Qi Guo, Dan Alistarh
2022	J	`jnl`	CrAM: A Compression-Aware Minimizer. CoRR Alexandra Peste, Adrian Vladu, Dan Alistarh, Christoph H. Lampert
2022	J	`jnl`	Discrepancy Minimization via Regularization. CoRR Lucas Pesenti, Adrian Vladu
2021	A*	`conf`	AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks. NeurIPS Alexandra Peste, Eugenia Iofinova, Adrian Vladu, Dan Alistarh
2021	J	`jnl`	AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks. CoRR Alexandra Peste, Eugenia Iofinova, Adrian Vladu, Dan Alistarh
2021	A*	`conf`	Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities. AAAI Alina Ene, Huy L. Nguyen, Adrian Vladu
2021	A*	`conf`	Decomposable Submodular Function Minimization via Maximum Flow. ICML Kyriakos Axiotis, Adam Karczmarz, Anish Mukherjee, Piotr Sankowski, Adrian Vladu
2021	J	`jnl`	Decomposable Submodular Function Minimization via Maximum Flow. CoRR Kyriakos Axiotis, Adam Karczmarz, Anish Mukherjee, Piotr Sankowski, Adrian Vladu
2021	A*	`conf`	Faster Sparse Minimum Cost Flow by Electrical Flow Localization. FOCS Kyriakos Axiotis, Aleksander Madry, Adrian Vladu
2021	J	`jnl`	Faster Sparse Minimum Cost Flow by Electrical Flow Localization. CoRR Kyriakos Axiotis, Aleksander Madry, Adrian Vladu
2021	A*	`conf`	Projection-Free Bandit Optimization with Privacy Guarantees. AAAI Alina Ene, Huy L. Nguyen, Adrian Vladu
2020	J	`jnl`	Adaptive Gradient Methods for Constrained Convex Optimization. CoRR Alina Ene, Huy L. Nguyen, Adrian Vladu
2020	A*	`conf`	Circulation Control for Faster Minimum Cost Flow in Unit-Capacity Graphs. FOCS Kyriakos Axiotis, Aleksander Madry, Adrian Vladu
2020	J	`jnl`	Circulation Control for Faster Minimum Cost Flow in Unit-Capacity Graphs. CoRR Kyriakos Axiotis, Aleksander Madry, Adrian Vladu
2020	J	`jnl`	Projection-Free Bandit Optimization with Privacy Guarantees. CoRR Alina Ene, Huy L. Nguyen, Adrian Vladu
2019	A*	`conf`	Improved Convergence for $\ell_1$ and $\ell_∞$ Regression via Iteratively Reweighted Least Squares. ICML Alina Ene, Adrian Vladu
2019	J	`jnl`	Improved Convergence for $\ell_\infty$ and $\ell_1$ Regression via Iteratively Reweighted Least Squares. CoRR Alina Ene, Adrian Vladu
2019	A*	`conf`	Submodular maximization with matroid and packing constraints in parallel. STOC Alina Ene, Huy L. Nguyen, Adrian Vladu
2018	J	`jnl`	A Parallel Double Greedy Algorithm for Submodular Maximization. CoRR Alina Ene, Huy L. Nguyen, Adrian Vladu
2018	J	`jnl`	Multidimensional Binary Search for Contextual Decision-Making. Oper. Res. Ilan Lobel, Renato Paes Leme, Adrian Vladu
2018	J	`jnl`	Submodular Maximization with Packing Constraints in Parallel. CoRR Alina Ene, Huy L. Nguyen, Adrian Vladu
2018	—	`conf`	Towards Deep Learning Models Resistant to Adversarial Attacks. ICLR (Poster) Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, Adrian Vladu
2017	A*	`conf`	Almost-linear-time algorithms for Markov chains and new spectral primitives for directed graphs. STOC Michael B. Cohen, Jonathan A. Kelner, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford, Adrian Vladu
2017	A*	`conf`	Matrix Scaling and Balancing via Box Constrained Newton's Method and Interior Point Methods. FOCS Michael B. Cohen, Aleksander Madry, Dimitris Tsipras, Adrian Vladu
2017	J	`jnl`	Matrix Scaling and Balancing via Box Constrained Newton's Method and Interior Point Methods. CoRR Michael B. Cohen, Aleksander Madry, Dimitris Tsipras, Adrian Vladu
2017	A*	`conf`	Multidimensional Binary Search for Contextual Decision-Making. EC Ilan Lobel, Renato Paes Leme, Adrian Vladu
2017	A*	`conf`	Negative-Weight Shortest Paths and Unit Capacity Minimum Cost Flow in Õ ( SODA Michael B. Cohen, Aleksander Madry, Piotr Sankowski, Adrian Vladu
2017	A*	`conf`	Tight Bounds for Approximate Carathéodory and Beyond. ICML Vahab S. Mirrokni, Renato Paes Leme, Adrian Vladu, Sam Chiu-wai Wong
2017	J	`jnl`	Towards Deep Learning Models Resistant to Adversarial Attacks. CoRR Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, Adrian Vladu
2016	J	`jnl`	Almost-Linear-Time Algorithms for Markov Chains and New Spectral Primitives for Directed Graphs. CoRR Michael B. Cohen, Jonathan A. Kelner, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford, Adrian Vladu
2016	A*	`conf`	Faster Algorithms for Computing the Stationary Distribution, Simulating Random Walks, and More. FOCS Michael B. Cohen, Jonathan A. Kelner, John Peebles, Richard Peng, Aaron Sidford, Adrian Vladu
2016	J	`jnl`	Faster Algorithms for Computing the Stationary Distribution, Simulating Random Walks, and More. CoRR Michael B. Cohen, Jonathan A. Kelner, John Peebles, Richard Peng, Aaron Sidford, Adrian Vladu
2016	J	`jnl`	Multidimensional Binary Search for Contextual Decision-Making. CoRR Ilan Lobel, Renato Paes Leme, Adrian Vladu
2016	J	`jnl`	Negative-Weight Shortest Paths and Unit Capacity Minimum Cost Flow in Õ(m CoRR Michael B. Cohen, Aleksander Madry, Piotr Sankowski, Adrian Vladu
2015	A*	`conf`	How To Elect a Leader Faster than a Tournament. PODC Dan Alistarh, Rati Gelashvili, Adrian Vladu
2015	B	`conf`	Improved Parallel Algorithms for Spanners and Hopsets. SPAA Gary L. Miller, Richard Peng, Adrian Vladu, Shen Chen Xu
2015	J	`jnl`	Tight Bounds for Approximate Carathéodory and Beyond. CoRR Vahab S. Mirrokni, Renato Paes Leme, Adrian Vladu, Sam Chiu-wai Wong
2014	J	`jnl`	How to Elect a Leader Faster than a Tournament. CoRR Dan Alistarh, Rati Gelashvili, Adrian Vladu
2010	B	`conf`	Online Ranking for Tournament Graphs. WAOA Claire Mathieu, Adrian Vladu