Lorenzo Orecchia

Orcid: 0000-0001-7558-1397

According to our database1, Lorenzo Orecchia authored at least 37 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of three.
  • Erdős number3 of two.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Top-K ranking with a monotone adversary.
CoRR, 2024

2023
Hypergraph Diffusions and Resolvents for Norm-Based Hypergraph Laplacians.
CoRR, 2023

Efficient Flow-based Approximation Algorithms for Submodular Hypergraph Partitioning via a Generalized Cut-Matching Game.
CoRR, 2023

2022
Practical Almost-Linear-Time Approximation Algorithms for Hybrid and Overlapping Graph Clustering.
Proceedings of the International Conference on Machine Learning, 2022

2020
Fair Packing and Covering on a Relative Scale.
SIAM J. Optim., 2020

2019
The Approximate Duality Gap Technique: A Unified Theory of First-Order Methods.
SIAM J. Optim., 2019

Nearly linear-time packing and covering LP solvers - Achieving width-independence and -convergence.
Math. Program., 2019

Conjugate Gradients and Accelerated Methods Unified: The Approximate Duality Gap View.
CoRR, 2019

2018
Width-Independence Beyond Linear Objectives: Distributed Fair Packing and Covering Algorithms.
CoRR, 2018

Accelerated Extra-Gradient Descent: A Novel Accelerated First-Order Method.
Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018

Alternating Randomized Block Coordinate Descent.
Proceedings of the 35th International Conference on Machine Learning, 2018

On Acceleration with Noise-Corrupted Gradients.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Solving Packing and Covering LPs in Õ(1/ε<sup>2</sup>) Distributed Iterations with a Single Algorithm and Simpler Analysis.
CoRR, 2017

Linear Coupling: An Ultimate Unification of Gradient and Mirror Descent.
Proceedings of the 8th Innovations in Theoretical Computer Science Conference, 2017

Connected Subgraph Detection with Mirror Descent on SDPs.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Expanders via Local Edge Flips.
Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2016

Using Optimization to Obtain a Width-Independent, Parallel, Simpler, and Faster Positive SDP Solver.
Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2016

2015
Nearly-Linear Time Positive LP Solver with Faster Convergence Rate.
Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, 2015

Spectral Sparsification and Regret Minimization Beyond Matrix Multiplicative Updates.
Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, 2015

Using Optimization to Break the Epsilon Barrier: A Faster and Simpler Width-Independent Algorithm for Solving Positive Linear Programs in Parallel.
Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2015

2014
Nearly-Linear Time Packing and Covering LP Solver with Faster Convergence Rate Than $O(1/\varepsilon^2)$.
CoRR, 2014

A Novel, Simple Interpretation of Nesterov's Accelerated Method as a Combination of Gradient and Mirror Descent.
CoRR, 2014

Using Optimization to Find Maximum Inscribed Balls and Minimum Enclosing Balls.
CoRR, 2014

Flow-Based Algorithms for Local Graph Clustering.
Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

An Almost-Linear-Time Algorithm for Approximate Max Flow in Undirected Graphs, and its Multicommodity Generalizations.
Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

2013
A simple, combinatorial algorithm for solving SDD systems in nearly-linear time.
Proceedings of the Symposium on Theory of Computing Conference, 2013

2012
A local spectral method for graphs: with applications to improving graph partitions and exploring data graphs locally.
J. Mach. Learn. Res., 2012

Approximating the exponential, the lanczos method and an Õ(<i>m</i>)-time spectral algorithm for balanced separator.
Proceedings of the 44th Symposium on Theory of Computing Conference, 2012

2011
Fast Approximation Algorithms for Graph Partitioning Using Spectral and Semidefinite-Programming Techniques.
PhD thesis, 2011

Approximating the Exponential, the Lanczos Method and an \tilde{O}(m)-Time Spectral Algorithm for Balanced Separator
CoRR, 2011

Towards an SDP-based Approach to Spectral Methods: A Nearly-Linear-Time Algorithm for Graph Partitioning and Decomposition.
Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete Algorithms, 2011

Implementing regularization implicitly via approximate eigenvector computation.
Proceedings of the 28th International Conference on Machine Learning, 2011

2009
A Spectral Algorithm for Improving Graph Partitions
CoRR, 2009

Empirical Evaluation of Graph Partitioning Using Spectral Embeddings and Flow.
Proceedings of the Experimental Algorithms, 8th International Symposium, 2009

2008
On partitioning graphs via single commodity flows.
Proceedings of the 40th Annual ACM Symposium on Theory of Computing, 2008

2007
Localized Techniques for Broadcasting in Wireless Sensor Networks.
Algorithmica, 2007

2004
Localized techniques for broadcasting in wireless sensor networks.
Proceedings of the DIALM-POMC Joint Workshop on Foundations of Mobile Computing, 2004


  Loading...