Alex Gittens - RankMe

65 papers A* 11B 1Misc 1Journal 41Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Exploiting Missing Data Remediation Strategies Using Adversarial Missingness Attacks. AAAI Deniz Koyuncu, Alex Gittens, Bülent Yener, Moti Yung
2025	J	`jnl`	Forecasting Fails: Unveiling Evasion Attacks in Weather Prediction Models. CoRR Huzaifa Arif, Pin-Yu Chen, Alex Gittens, James Diffenderfer, Bhavya Kailkhura
2025	J	`jnl`	Group Fair Federated Learning via Stochastic Kernel Regularization. Trans. Mach. Learn. Res. Huzaifa Arif, Pin-Yu Chen, Keerthiram Murugesan, Alex Gittens
2025	—	`conf`	PEEL the Layers and Find Yourself: Revisiting Inference-Time Data Leakage for Residual Neural Networks. SaTML Huzaifa Arif, Keerthiram Murugesan, Payel Das, Alex Gittens, Pin-Yu Chen
2025	J	`jnl`	PEEL the Layers and Find Yourself: Revisiting Inference-time Data Leakage for Residual Neural Networks. CoRR Huzaifa Arif, Keerthiram Murugesan, Payel Das, Alex Gittens, Pin-Yu Chen
2025	J	`jnl`	Patching LLM Like Software: A Lightweight Method for Improving Safety Policy in Large Language Models. CoRR Huzaifa Arif, Keerthiram Murugesan, Ching-Yun Ko, Pin-Yu Chen, Payel Das, Alex Gittens
2025	A*	`conf`	Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion. AAAI Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki, Charu C. Aggarwal
2024	J	`jnl`	Adversarial Missingness Attacks on Causal Structure Learning. ACM Trans. Intell. Syst. Technol. Deniz Koyuncu, Alex Gittens, Bülent Yener, Moti Yung
2024	—	`conf`	Aligners: Decoupling LLMs and Alignment. EMNLP (Findings) Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
2024	—	`conf`	Aligners: Decoupling LLMs and Alignment. Tiny Papers @ ICLR Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
2024	J	`jnl`	Aligners: Decoupling LLMs and Alignment. CoRR Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
2024	J	`jnl`	Exploiting the Data Gap: Utilizing Non-ignorable Missingness to Manipulate Model Learning. CoRR Deniz Koyuncu, Alex Gittens, Bülent Yener, Moti Yung
2024	J	`jnl`	Iterative thresholding for non-linear learning in the strong ε-contamination model. CoRR Arvind Rathnashyam, Alex Gittens
2024	J	`jnl`	Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion. CoRR Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki, Charu C. Aggarwal
2023	J	`jnl`	A Cross-Domain Evaluation of Approaches for Causal Knowledge Extraction. CoRR Anik Saha, Oktie Hassanzadeh, Alex Gittens, Jian Ni, Kavitha Srinivas, Bülent Yener
2023	A*	`conf`	Deception by Omission: Using Adversarial Missingness to Poison Causal Structure Learning. KDD Deniz Koyuncu, Alex Gittens, Bülent Yener, Moti Yung
2023	J	`jnl`	Deception by Omission: Using Adversarial Missingness to Poison Causal Structure Learning. CoRR Deniz Koyuncu, Alex Gittens, Bülent Yener, Moti Yung
2023	J	`jnl`	Improving Neural Ranking Models with Traditional IR Methods. CoRR Anik Saha, Oktie Hassanzadeh, Alex Gittens, Jian Ni, Kavitha Srinivas, Bülent Yener
2023	J	`jnl`	Reduced Label Complexity For Tight 𝓁 CoRR Alex Gittens, Malik Magdon-Ismail
2023	—	`conf`	Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming. SaTML Huzaifa Arif, Alex Gittens, Pin-Yu Chen
2023	A*	`conf`	Simple Disentanglement of Style and Content in Visual Representations. ICML Lilian Ngweta, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
2023	J	`jnl`	Simple Disentanglement of Style and Content in Visual Representations. CoRR Lilian Ngweta, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
2023	J	`jnl`	Word Sense Induction with Knowledge Distillation from BERT. CoRR Anik Saha, Alex Gittens, Bülent Yener
2022	J	`jnl`	An Adversarial Perspective on Accuracy, Robustness, Fairness, and Privacy: Multilateral-Tradeoffs in Trustworthy ML. IEEE Access Alex Gittens, Bülent Yener, Moti Yung
2022	—	`conf`	SPOCK @ Causal News Corpus 2022: Cause-Effect-Signal Span Detection Using Span-Based and Sequence Tagging Models. CASE@EMNLP Anik Saha, Alex Gittens, Jian Ni, Oktie Hassanzadeh, Bülent Yener, Kavitha Srinivas
2022	B	`conf`	TINKER: A framework for Open source Cyberthreat Intelligence. TrustCom Nidhi Rastogi, Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki, Charu C. Aggarwal
2021	J	`jnl`	Learning Fair Canonical Polyadical Decompositions using a Kernel Independence Criterion. CoRR Kevin Kim, Alex Gittens
2021	J	`jnl`	NoisyCUR: An algorithm for two-cost budgeted matrix completion. CoRR Dong Hu, Alex Gittens, Malik Magdon-Ismail
2021	J	`jnl`	Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models. CoRR Daniel Park, Haidar Khan, Azer Khan, Alex Gittens, Bülent Yener
2021	J	`jnl`	Reading StackOverflow Encourages Cheating: Adding Question Text Improves Extractive Code Generation. CoRR Gabriel Orlanski, Alex Gittens
2021	Misc	`conf`	Sparse Graph Based Sketching for Fast Numerical Linear Algebra. ICASSP Dong Hu, Shashanka Ubaru, Alex Gittens, Kenneth L. Clarkson, Lior Horesh, Vassilis Kalantzis
2021	J	`jnl`	Sparse graph based sketching for fast numerical linear algebra. CoRR Dong Hu, Shashanka Ubaru, Alex Gittens, Kenneth L. Clarkson, Lior Horesh, Vassilis Kalantzis
2021	J	`jnl`	TINKER: A framework for Open source Cyberthreat Intelligence. CoRR Nidhi Rastogi, Sharmishtha Dutta, Mohammed J. Zaki, Alex Gittens, Charu C. Aggarwal
2020	A*	`conf`	Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition. ICML Alex Gittens, Kareem S. Aggour, Bülent Yener
2020	J	`jnl`	MALOnt: An Ontology for Malware Threat Intelligence. CoRR Nidhi Rastogi, Sharmishtha Dutta, Mohammed J. Zaki, Alex Gittens, Charu C. Aggarwal
2020	—	`conf`	NoisyCUR: An Algorithm for Two-Cost Budgeted Matrix Completion. ECML/PKDD (1) Dong Hu, Alex Gittens, Malik Magdon-Ismail
2019	J	`jnl`	Alchemist: An Apache Spark ⇔ MPI interface. Concurr. Comput. Pract. Exp. Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Jey Kottalam, Lisa Gerhardt, Prabhat, Michael F. Ringenburg, Kristyn J. Maschhoff
2019	J	`jnl`	Fast Fixed Dimension L2-Subspace Embeddings of Arbitrary Accuracy, With Application to L1 and L2 Tasks. CoRR Malik Magdon-Ismail, Alex Gittens
2019	J	`jnl`	Group Collaborative Representation for Image Set Classification. Int. J. Comput. Vis. Bo Liu, Liping Jing, Jia Li, Jian Yu, Alex Gittens, Michael W. Mahoney
2019	J	`jnl`	Scalable Kernel K-Means Clustering with Nystr\"om Approximation: Relative-Error Bounds. J. Mach. Learn. Res. Shusen Wang, Alex Gittens, Michael W. Mahoney
2018	A*	`conf`	Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. KDD Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff
2018	J	`jnl`	Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. CoRR Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff
2018	—	`conf`	Accelerating a Distributed CPD Algorithm for Large Dense, Skewed Tensors. IEEE BigData Kareem S. Aggour, Alex Gittens, Bülent Yener
2018	J	`jnl`	Alchemist: An Apache Spark MPI Interface. CoRR Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Jey Kottalam, Lisa Gerhardt, Prabhat, Michael F. Ringenburg, Kristyn J. Maschhoff
2017	A*	`conf`	Breaking Locality Accelerates Block Gauss-Seidel. ICML Stephen Tu, Shivaram Venkataraman, Ashia C. Wilson, Alex Gittens, Michael I. Jordan, Benjamin Recht
2017	J	`jnl`	Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds. CoRR Shusen Wang, Alex Gittens, Michael W. Mahoney
2017	A*	`conf`	Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging. ICML Shusen Wang, Alex Gittens, Michael W. Mahoney
2017	J	`jnl`	Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging. CoRR Shusen Wang, Alex Gittens, Michael W. Mahoney
2017	J	`jnl`	Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging. J. Mach. Learn. Res. Shusen Wang, Alex Gittens, Michael W. Mahoney
2017	—	`conf`	Skip-Gram - Zipf + Uniform = Vector Additivity. ACL (1) Alex Gittens, Dimitris Achlioptas, Michael W. Mahoney
2016	—	`conf`	A Multi-Platform Evaluation of the Randomized CX Low-Rank Matrix Factorization in Spark. IPDPS Workshops Alex Gittens, Jey Kottalam, Jiyan Yang, Michael F. Ringenburg, Jatin Chhugani, Evan Racah, Mohitdeep Singh, Yushu Yao, Curt Fischer, Oliver Rübel, Benjamin P. Bowen, Norman G. Lewis, Michael W. Mahoney, Venkat Krishnamurthy, Prabhat
2016	J	`jnl`	Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies. CoRR Alex Gittens, Aditya Devarakonda, Evan Racah, Michael F. Ringenburg, Lisa Gerhardt, Jey Kottalam, Jialin Liu, Kristyn J. Maschhoff, Shane Canon, Jatin Chhugani, Pramod Sharma, Jiyan Yang, James Demmel, Jim Harrell, Venkat Krishnamurthy, Michael W. Mahoney, Prabhat
2016	—	`conf`	Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies. IEEE BigData Alex Gittens, Aditya Devarakonda, Evan Racah, Michael F. Ringenburg, Lisa Gerhardt, Jey Kottalam, Jialin Liu, Kristyn J. Maschhoff, Shane Canon, Jatin Chhugani, Pramod Sharma, Jiyan Yang, James Demmel, Jim Harrell, Venkat Krishnamurthy, Michael W. Mahoney, Prabhat
2016	J	`jnl`	Revisiting the Nystrom Method for Improved Large-scale Machine Learning. J. Mach. Learn. Res. Alex Gittens, Michael W. Mahoney
2015	A*	`conf`	Hardware compliant approximate image codes. CVPR Da Kuang, Alex Gittens, Raffay Hamid
2015	A*	`conf`	Spectral Clustering via the Power Method - Provably. ICML Christos Boutsidis, Prabhanjan Kambadur, Alex Gittens
2015	J	`jnl`	Tensor machines for learning target-specific polynomial features. CoRR Jiyan Yang, Alex Gittens
2014	A*	`conf`	Compact Random Feature Maps. ICML Raffay Hamid, Ying Xiao, Alex Gittens, Dennis DeCoste
2013	J	`jnl`	Approximate Spectral Clustering via Randomized Sketching. CoRR Alex Gittens, Prabhanjan Kambadur, Christos Boutsidis
2013	J	`jnl`	Compact Random Feature Maps. CoRR Raffay Hamid, Ying Xiao, Alex Gittens, Dennis DeCoste
2013	J	`jnl`	Improved Matrix Algorithms via the Subsampled Randomized Hadamard Transform. SIAM J. Matrix Anal. Appl. Christos Boutsidis, Alex Gittens
2013	J	`jnl`	Revisiting the Nystrom Method for Improved Large-Scale Machine Learning CoRR Alex Gittens, Michael W. Mahoney
2013	—	`conf`	Revisiting the Nystrom method for improved large-scale machine learning. ICML (3) Alex Gittens, Michael W. Mahoney
2012	J	`jnl`	Improved matrix algorithms via the Subsampled Randomized Hadamard Transform CoRR Christos Boutsidis, Alex Gittens
2011	J	`jnl`	The spectral norm error of the naive Nystrom extension CoRR Alex Gittens