Christian Tjandraatmadja

According to our database, Christian Tjandraatmadja authored at least 15 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning Generalized Linear Programming Value Functions.

Tu Anh-Nguyen, Joey Huchette, Christian Tjandraatmadja

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Constrained Discrete Black-Box Optimization using Mixed-Integer Programming.

Theodore P. Papalexopoulos, Christian Tjandraatmadja, Ross Anderson, Juan Pablo Vielma, David Belanger

Proceedings of the International Conference on Machine Learning, 2022

2021

Incorporating bounds from decision diagrams into integer programming.

Christian Tjandraatmadja, Willem-Jan van Hoeve

Math. Program. Comput., 2021

2020

Strong mixed-integer programming formulations for trained neural networks.

Ross Anderson, Joey Huchette, Will Ma, Christian Tjandraatmadja, Juan Pablo Vielma

Math. Program., 2020

Solving Mixed Integer Programs Using Neural Networks.

Vinod Nair, Sergey Bartunov, Felix Gimeno, Ingrid von Glehn, Pawel Lichocki, Ivan Lobov, Brendan O'Donoghue, Nicolas Sonnerat, Christian Tjandraatmadja, Pengming Wang, Ravichandra Addanki, Tharindi Hapuarachchi, Thomas Keck, James Keeling, Pushmeet Kohli, Ira Ktena, Yujia Li, Oriol Vinyals, Yori Zwols

CoRR, 2020

The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification.

Christian Tjandraatmadja, Ross Anderson, Joey Huchette, Will Ma, Krunal Patel, Juan Pablo Vielma

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing.

Arthur Delarue, Ross Anderson, Christian Tjandraatmadja

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

CAQL: Continuous Action Q-Learning.

Moonkyung Ryu, Yinlam Chow, Ross Anderson, Christian Tjandraatmadja, Craig Boutilier

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Target Cuts from Relaxed Decision Diagrams.

Christian Tjandraatmadja, Willem-Jan van Hoeve

INFORMS J. Comput., 2019

Strong Mixed-Integer Programming Formulations for Trained Neural Networks.

Ross Anderson, Joey Huchette, Christian Tjandraatmadja, Juan Pablo Vielma

Proceedings of the Integer Programming and Combinatorial Optimization, 2019

2018

How Could Polyhedral Theory Harness Deep Learning?

Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam

CoRR, 2018

Bounding and Counting Linear Regions of Deep Neural Networks.

Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam

Proceedings of the 35th International Conference on Machine Learning, 2018

2010

A branch-and-cut approach to the repetition-free longest common subsequence problem.

Carlos Eduardo Ferreira, Christian Tjandraatmadja

Electron. Notes Discret. Math., 2010

2008

Repetition-free longest common subsequence.

Said Sadique Adi, Marília D. V. Braga, Cristina G. Fernandes, Carlos Eduardo Ferreira, Fábio Viduani Martinez, Marie-France Sagot, Marco Aurelio Stefanes, Christian Tjandraatmadja, Yoshiko Wakabayashi

Electron. Notes Discret. Math., 2008

A Polyhedral Investigation of the LCS Problem and a Repetition-Free Variant.

Cristina G. Fernandes, Carlos Eduardo Ferreira, Christian Tjandraatmadja, Yoshiko Wakabayashi

Proceedings of the LATIN 2008: Theoretical Informatics, 2008