Brandon Amos

CoRR, 2024

Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback.

[BibT_eX]

[DOI]

CoRR, 2024

To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning.

[BibT_eX]

[DOI]

CoRR, 2024

Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles.

[BibT_eX]

[DOI]

CoRR, 2024

Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold.

[BibT_eX]

[DOI]

CoRR, 2024

Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Neural Optimal Transport with Lagrangian Costs.

[BibT_eX]

[DOI]

Aram-Alexandre Pooladian

Carles Domingo-Enrich

CoRR, 2024

AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Tutorial on Amortized Optimization.

[BibT_eX]

[DOI]

Found. Trends Mach. Learn., 2023

Stochastic Optimal Control Matching.

[BibT_eX]

[DOI]

Carles Domingo-Enrich

CoRR, 2023

Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TaskMet: Task-driven Metric Learning for Model Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

End-to-End Learning to Warm-Start for Real-Time Quadratic Optimization.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2023

Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Multisample Flow Matching: Straightening Flows with Minibatch Couplings.

[BibT_eX]

[DOI]

Aram-Alexandre Pooladian

Heli Ben-Hamu

Carles Domingo-Enrich

Yaron Lipman

Proceedings of the International Conference on Machine Learning, 2023

Meta Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

On amortizing convex conjugates for optimal transport.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Tutorial on amortized optimization for learning to optimize over continuous domains.

[BibT_eX]

[DOI]

CoRR, 2022

Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Theseus: A Library for Differentiable Nonlinear Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Semi-Discrete Normalizing Flows through Differentiable Tessellation.

[BibT_eX]

[DOI]

Maximilian Nickel

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Matching Normalizing Flows and Probability Paths on Manifolds.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Cross-Domain Imitation Learning via Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Input Convex Gradient Networks.

[BibT_eX]

[DOI]

Jack Richter-Powell

Jonathan Lorraine

CoRR, 2021

Neural Fixed-Point Acceleration for Convex Optimization.

[BibT_eX]

[DOI]

Shobha Venkataraman

CoRR, 2021

MBRL-Lib: A Modular Library for Model-based Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Scalable Online Planning via Reinforcement Learning Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the model-based stochastic value gradient for continuous reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Riemannian Convex Potential Maps.

[BibT_eX]

[DOI]

Samuel Cohen

Yaron Lipman

Proceedings of the 38th International Conference on Machine Learning, 2021

Neural Spatio-Temporal Point Processes.

[BibT_eX]

[DOI]

Maximilian Nickel

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Neural Event Functions for Ordinary Differential Equations.

[BibT_eX]

[DOI]

Maximilian Nickel

Proceedings of the 9th International Conference on Learning Representations, 2021

Aligning Time Series on Incomparable Spaces.

[BibT_eX]

[DOI]

Marc Peter Deisenroth

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Improving Sample Efficiency in Model-Free Reinforcement Learning from Images.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Algorithm 1007: QNSTOP - Quasi-Newton Algorithm for Stochastic Optimization.

[BibT_eX]

[DOI]

ACM Trans. Math. Softw., 2020

Objective Mismatch in Model-based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

The Differentiable Cross-Entropy Method.

[BibT_eX]

[DOI]

Denis Yarats

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Quasi-Newton Stochastic Optimization Algorithm for Parameter Estimation of a Stochastic Model of the Budding Yeast Cell Cycle.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Generalized Inner Loop Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2019

The Limited Multi-Label Projection Layer.

[BibT_eX]

[DOI]

Vladlen Koltun

CoRR, 2019

Differentiable Convex Optimization Layers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Enabling Live Video Analytics with a Scalable and Privacy-Aware Framework.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2018

Depth-Limited Solving for Imperfect-Information Games.

[BibT_eX]

[DOI]

Noam Brown

Tuomas Sandholm

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Differentiable MPC for End-to-end Planning and Control.

[BibT_eX]

[DOI]

Ivan Dario Jimenez Rodriguez

Jacob Sacks

Byron Boots

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Awareness Models.

[BibT_eX]

[DOI]

Sergio Gomez Colmenarejo

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Task-based End-to-end Model Learning.

[BibT_eX]

[DOI]

Priya L. Donti

CoRR, 2017

Task-based End-to-end Model Learning in Stochastic Optimization.

[BibT_eX]

[DOI]

Priya L. Donti

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Scalable and Privacy-Aware IoT Service for Live Video Analytics.

[BibT_eX]

[DOI]

Proceedings of the 8th ACM on Multimedia Systems Conference, 2017

Input Convex Neural Networks.

[BibT_eX]

[DOI]

Lei Xu

Proceedings of the 34th International Conference on Machine Learning, 2017

OptNet: Differentiable Optimization as a Layer in Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

You can teach elephants to dance: agile VM handoff for edge computing.

[BibT_eX]

[DOI]

Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, 2017

An empirical study of latency in an emerging class of edge computing applications for wearable cognitive assistance.

[BibT_eX]

[DOI]

Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, 2017

2016

HotMobile 2016.

[BibT_eX]

[DOI]

Ketan Bhardwaj

Kiron Lebeck

IEEE Pervasive Comput., 2016

Privacy Mediators: Helping IoT Cross the Chasm.

[BibT_eX]

[DOI]

Nigel Davies

Nina Taft

Sarah Clinch

Proceedings of the 17th International Workshop on Mobile Computing Systems and Applications, 2016

Collapsed Variational Inference for Sum-Product Networks.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Quantifying the Impact of Edge Computing on Mobile Applications.

[BibT_eX]

[DOI]

Proceedings of the 7th ACM SIGOPS Asia-Pacific Workshop on Systems, 2016

2015

Edge Analytics in the Internet of Things.

[BibT_eX]

[DOI]

IEEE Pervasive Comput., 2015

Bad Parts: Are Our Manufacturing Systems at Risk of Silent Cyberattacks?

[BibT_eX]

[DOI]

IEEE Secur. Priv., 2015

The Case for Offload Shaping.

[BibT_eX]

[DOI]

Proceedings of the 16th International Workshop on Mobile Computing Systems and Applications, 2015

Early Implementation Experience with Wearable Cognitive Assistance Applications.

[BibT_eX]

[DOI]

Alexander G. Hauptmann

Proceedings of the 2015 workshop on Wearable Systems and Applications, 2015

2014

Global parameter estimation for a eukaryotic cell cycle model in systems biology.

[BibT_eX]

[DOI]

Proceedings of the 2014 Summer Simulation Multiconference, 2014

Fortran 95 implementation of QNSTOP for global and stochastic optimization.

[BibT_eX]

[DOI]

Proceedings of the 2014 Spring Simulation Multiconference, 2014

Performance Study of Spindle, A Web Analytics Query Engine Implemented in Spark.

[BibT_eX]

[DOI]

David Tompkins

Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

2013

Applying machine learning classifiers to dynamic Android malware detection at scale.

[BibT_eX]

[DOI]