Parikshit Ram

Tim Klinger

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Byzantine-Resilient Bilevel Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Enhancing In-context Learning via Linear Probe Calibration.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Effective Data Distillation for Tabular Datasets (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Compositional Program Generation for Systematic Generalization.

[BibT_eX]

[DOI]

CoRR, 2023

Model Sparsification Can Simplify Machine Unlearning.

[BibT_eX]

[DOI]

CoRR, 2023

Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Model Sparsity Can Simplify Machine Unlearning.

[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 Differentiable Clustering with Associative Memories.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

What Is Missing in IRM Training and Evaluation? Challenges and Solutions.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Single-shot General Hyper-parameter Optimization for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Runtime Prediction of Machine Learning Algorithms in Automl Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Searching for Fairer Machine Learning Ensembles.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Automated Machine Learning, 2023

xCloudServing: Automated ML Serving Across Clouds.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022

Navigating Ensemble Configurations for Algorithmic Fairness.

[BibT_eX]

[DOI]

CoRR, 2022

Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis.

[BibT_eX]

[DOI]

CoRR, 2022

An Empirical Study of Modular Bias Mitigators and Ensembles.

[BibT_eX]

[DOI]

CoRR, 2022

Overcoming Catastrophic Forgetting via Direction-Constrained Optimization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Advancing Model Pruning via Bi-level Optimization.

[BibT_eX]

[DOI]

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

Gradual AutoML using Lale.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

On the Optimality Gap of Warm-Started Hyperparameter Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Automated Machine Learning, 2022

Federated Nearest Neighbor Classification with a Colony of Fruit-Flies.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Federated Nearest Neighbor Classification with a Colony of Fruit-Flies: With Supplement.

[BibT_eX]

[DOI]

CoRR, 2021

Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD.

[BibT_eX]

[DOI]

Chen Fan

Sijia Liu

CoRR, 2021

Designing Machine Learning Pipeline Toolkit for AutoML Surrogate Modeling Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Pipeline Combinators for Gradual AutoML.

[BibT_eX]

[DOI]

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

Fruit-fly Inspired Neighborhood Encoding for Classification.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning.

[BibT_eX]

[DOI]

Aswin Kannan

Anamitra Roy Choudhury

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Searching for Machine Learning Pipelines Using a Context-Free Grammar.

[BibT_eX]

[DOI]

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

2020

Learned Fine-Tuner for Incongruous Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Neural Neighborhood Encoding for Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Lale: Consistent Automated Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Solving Constrained CASH Problems with ADMM.

[BibT_eX]

[DOI]

CoRR, 2020

AutoAI: Automating the End-to-End AI Lifecycle with Humans-in-the-Loop.

[BibT_eX]

[DOI]

Dakuo Wang

Daniel Karl I. Weidele

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

Survey on Automated End-to-End Data Science?

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Exploring Context-Free Languages via Planning: The Case for Automating Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

An ADMM Based Framework for AutoML Pipeline Configuration.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI.

[BibT_eX]

[DOI]

Proc. ACM Hum. Comput. Interact., 2019

How can AI Automate End-to-End Data Science?

[BibT_eX]

[DOI]

CoRR, 2019

Type-Driven Automated Learning with Lale.

[BibT_eX]

[DOI]

CoRR, 2019

Automated Machine Learning via ADMM.

[BibT_eX]

[DOI]

CoRR, 2019

Revisiting kd-tree for Nearest Neighbor Search.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Improved maximum inner product search with better theoretical guarantee using randomized partition trees.

[BibT_eX]

[DOI]

Omid Keivani

Mach. Learn., 2018

2017

Fraud Detection with Density Estimation Trees.

[BibT_eX]

[DOI]

Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, 2017

Improved maximum inner product search with better theoretical guarantees.

[BibT_eX]

[DOI]

Omid Keivani

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015

Plug-and-play dual-tree algorithm runtime analysis.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2015

2014

Dual-tree fast exact max-kernel search.

[BibT_eX]

[DOI]

Ryan R. Curtin

Stat. Anal. Data Min., 2014

2013

New paradigms for approximate nearest-neighbor search.

[BibT_eX]

[DOI]

PhD thesis, 2013

MLPACK: a scalable C++ machine learning library.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2013

Fast Exact Max-Kernel Search.

[BibT_eX]

[DOI]

Ryan R. Curtin

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Which Space Partitioning Tree to Use for Search?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Tree-Independent Dual-Tree Algorithms.

[BibT_eX]

[DOI]

Charles L. Isbell Jr.

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Maximum Inner-Product Search using Tree Data-structures

[BibT_eX]

[DOI]

CoRR, 2012

Nearest-Neighbor Search on a Time Budget via Max-Margin Trees.

[BibT_eX]

[DOI]

Dongryeol Lee

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Maximum inner-product search using cone trees.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Efficient retrieval of recommendations in a matrix factorization framework.

[BibT_eX]

[DOI]

Noam Koenigstein

Yuval Shavitt

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Density estimation trees.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010

Fast euclidean minimum spanning tree: algorithm, analysis, and applications.

[BibT_eX]

[DOI]

William B. March