Fabián A. Chudak

发表

A 3-Approximation Algorithm for the k-Level Uncapacitated Facility Location Problem

Karen Aardal, Fabián A. Chudak, David B. Shmoys, 1999, Inf. Process. Lett..

Improved Approximation Algorithms for Uncapitated Facility Location

Fabián A. Chudak, 1998, IPCO.

Improved approximation algorithms for capacitated facility location problems

David P. Williamson, Fabián A. Chudak, 2005, Math. Program..

Improved approximation algorithms for capacitated facility location problems

David P. Williamson, Fabián A. Chudak, 1999, IPCO.

Efficient solutions to relaxations of combinatorial problems with submodular penalties via the Lovász extension and non-smooth convex optimization

Fabián A. Chudak, Kiyohito Nagano, 2007, SODA '07.

Solving Large Scale Uncapacitated Facility Location Problems

Fabián A. Chudak, Francisco Barahona, 2000 .

Improved approximation algorithms for a capacitated facility location problem

Fabián A. Chudak, David B. Shmoys, 1999, SODA '99.

Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines pdf

Fabián A. Chudak, Yanbo Xue, William G. Macready, 2016, ArXiv.

A primal-dual interpretation of two 2-approximation algorithms for the feedback vertex set problem in undirected graphs

David P. Williamson, Fabián A. Chudak, Michel X. Goemans, 1998, Oper. Res. Lett..

Solving SAT and MaxSAT with a Quantum Annealer: Foundations, Encodings, and Preliminary Results pdf

Aidan Roy, Fabián A. Chudak, Roberto Sebastiani, 2018, Inf. Comput..

Approximation Algorithms for Precedence-Constrained Scheduling Problems on Parallel Machines That Run at Fifferent Speeds (Extended Abstract)

Fabián A. Chudak, David B. Shmoys, 1997, SODA.

Near-optimal solutions to large-scale facility location problems

Fabián A. Chudak, Francisco Barahona, 2005, Discret. Optim..

Improved Approximation Algorithms for the Uncapacitated Facility Location Problem

Fabián A. Chudak, David B. Shmoys, D. Shmoys, 2003, SIAM J. Comput..

Approximate k-MSTs and k-Steiner trees via the primal-dual method and Lagrangean relaxation

Tim Roughgarden, David P. Williamson, Fabián A. Chudak, 2001, Math. Program..

Improved Approximation Schemes for Linear Programming Relaxations of Combinatorial Optimization Problems

Fabián A. Chudak, Vânia Eleutério, V. Eleuterio, 2005, IPCO.

Fast optical Layer mesh protection using pre-cross-connected trails

Fabián A. Chudak, Timothy Y. Chow, Anthony M. Ffrench, 2002, IEEE/ACM Transactions on Networking.

Approximate k-MSTs and k-Steiner trees via the primal-dual method and Lagrangean relaxation

Tim Roughgarden, David P. Williamson, Fabián A. Chudak, 2004, Math. Program..

Mapping Constrained Optimization Problems to Quantum Annealing with Application to Fault Diagnosis

Aidan Roy, Fabián A. Chudak, Robert B. Israel, 2016, Front. ICT.

Approximation algorithms for precedence-constrained scheduling problems on parallel machines that run at different speeds

Fabián A. Chudak, David B. Shmoys, D. Shmoys, 1997, SODA '97.

A New Resource-Constrained Multicommodity Flow Model for Conflict-Free Train Routing and Scheduling

Marco Laumanns, Fabián A. Chudak, Rico Zenklusen, 2011, Transp. Sci..

A min‐sum 3/2‐approximation algorithm for scheduling unrelated parallel machines

Fabián A. Chudak, 1999 .

A half-integral linear programming relaxation for scheduling precedence-constrained jobs on a single machine

Fabián A. Chudak, Dorit S. Hochbaum, D. Hochbaum, 1999, Oper. Res. Lett..

The Ising model : teaching an old problem new tricks

Fabián A. Chudak, W. Macready, G. Rose, 2010 .

Investigating the performance of an adiabatic quantum optimization processor

Fabián A. Chudak, Firas Hamze, William G. Macready, 2010, Quantum Inf. Process..

Experimental determination of Ramsey numbers.

Fabián A. Chudak, W. Macready, Zhengbing Bian, 2012, Physical Review Letters.

Design of a new railway scheduling model for dense services

Marco Laumanns, Fabián A. Chudak, Thomas Herrmann, 2007 .

Design of a Railway Scheduling Model for Dense Services

Fabián A. Chudak, M. Laumanns, T. Herrmann, 2009 .

Stattic Traffic Assignment Problem: A comparison between Beckmann (1956) and Nesterov & De Palma (1998) models

Fabián A. Chudak, Y. Nesterov, V. Dos Santos Eleuterio, 2007 .

Improved approximation algorithms for the k-level facility location problem

Fabián A. Chudak, K. Aardal, D. Shmoys, 1999 .

Boosting integer factoring performance via quantum annealing o sets TECHNICAL REPORT

Fabián A. Chudak, Andrew D. King, W. Macready, 2016 .

Aprimal{dualinterpretationoftwo2-approximationalgorithms forthefeedbackvertexsetprobleminundirectedgraphs

David P. Williamson, Fabián A. Chudak, M. Goemans, 1998 .

GENNAPE: Towards Generalized Neural Architecture Performance Estimators

Fabián A. Chudak, Fred X. Han, Keith G. Mills, 2022, 2211.17226.

Discrete optimization using quantum annealing on sparse Ising models

Aidan Roy, Fabián A. Chudak, William G. Macready, 2014, Front. Phys..

Solving SAT and MaxSAT with a Quantum Annealer: Foundations and a Preliminary Report

Aidan Roy, Fabián A. Chudak, Roberto Sebastiani, 2017, FroCoS.

Experimental determination of Ramsey numbers with quantum annealing

Fabián A. Chudak, Lane H. Clark, Frank Gaitan, 2012 .

A General-Purpose Transferable Predictor for Neural Architecture Search

Fabián A. Chudak, Fred X. Han, Keith G. Mills, 2023, SDM.

Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search

Fabián A. Chudak, Fred X. Han, Di Niu, 2021, CIKM.

Subject Areas : Quantum Information A Viewpoint on : Experimental Determination of Ramsey Numbers

Fabián A. Chudak, W. Macready, Zhengbing Bian, 2013 .

GENNAPE: Towards Generalized Neural Architecture Performance Estimators

Fabián A. Chudak, Fred X. Han, Keith G. Mills, 2022, AAAI.