Manzil Zaheer

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 158

Top Venues

Publications

Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli
Functional Interpolation for Relative Positions improves Long Context Transformers. ICLR (2024)
Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders. CoRR (2024)
Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi
Incremental Extractive Opinion Summarization Using Cover Trees. Trans. Mach. Learn. Res. 2024 (2024)
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi
Incremental Extractive Opinion Summarization Using Cover Trees. CoRR (2024)
Sai Srivatsa Ravindranath, Zhe Feng, Di Wang, Manzil Zaheer, Aranyak Mehta, David C. Parkes
Deep Reinforcement Learning for Sequential Combinatorial Auctions. CoRR (2024)
Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders. ICLR (2024)
Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. ICLR (2024)
Nicholas Monath, Manzil Zaheer, Kelsey Allen, Andrew McCallum
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining. AISTATS (2023)
Boxin Wang, Jacky Yibo Zhang, Yuan Cao, Bo Li, H. Brendan McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer
Can Public Large Language Models Help Private Cross-device Federated Learning? CoRR (2023)
Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar
Large Language Models with Controllable Working Memory. ACL (Findings) (2023)
Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer
Questions Are All You Need to Train a Dense Passage Retriever. Trans. Assoc. Comput. Linguistics 11 (2023)
Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. CoRR (2023)
Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan
Longtonotes: OntoNotes with Longer Coreference Chains. EACL (Findings) (2023)
Tian Li, Manzil Zaheer, Ken Liu, Sashank J. Reddi, Hugh Brendan McMahan, Virginia Smith
Differentially Private Adaptive Optimization with Delayed Preconditioners. ICLR (2023)
Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli
Functional Interpolation for Relative Positions Improves Long Context Transformers. CoRR (2023)
Nishant Yadav, Nicholas Monath, Manzil Zaheer, Andrew McCallum
Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition. EMNLP (Findings) (2023)
Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Jay-Yoon Lee, Hannaneh Hajishirzi, Manzil Zaheer, Andrew McCallum
Machine Reading Comprehension using Case-based Reasoning. EMNLP (Findings) (2023)
Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Sadeep Jayasumana, Veeranjaneyulu Sadhanala, Wittawat Jitkrittum, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar
EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval. CoRR (2023)
Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar
ResMem: Learn what you can and memorize the rest. CoRR (2023)
Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar
Teacher Guided Training: An Efficient Framework for Knowledge Transfer. ICLR (2023)
Joey Hong, Branislav Kveton, Manzil Zaheer, Sumeet Katariya, Mohammad Ghavamzadeh
Multi-Task Off-Policy Learning from Bandit Feedback. ICML (2023)
Soumya Basu, Ankit Singh Rawat, Manzil Zaheer
A Statistical Perspective on Retrieval-Based Models. ICML (2023)
Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar
ResMem: Learn what you can and memorize the rest. NeurIPS (2023)
Renat Aksitov, Sobhan Miryoosefi, Zonglin Li, Daliang Li, Sheila Babayan, Kavya Kopparapu, Zachary Fisher, Ruiqi Guo, Sushant Prakash, Pranesh Srinivasan, Manzil Zaheer, Felix X. Yu, Sanjiv Kumar
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent. CoRR (2023)
Nicholas Monath, Manzil Zaheer, Kelsey Allen, Andrew McCallum
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining. CoRR (2023)
Nishant Yadav, Nicholas Monath, Manzil Zaheer, Andrew McCallum
Adaptive Selection of Anchor Items for CUR-based k-NN search with Cross-Encoders. CoRR (2023)
Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Rajarshi Das, Manzil Zaheer, Jay-Yoon Lee, Hannaneh Hajishirzi, Andrew McCallum
Machine Reading Comprehension using Case-based Reasoning. CoRR (2023)
Nicholas Monath, Manzil Zaheer, Andrew McCallum
Online Level-wise Hierarchical Clustering. KDD (2023)
Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh
Multi-Task Off-Policy Learning from Bandit Feedback. CoRR (2022)
Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization. EMNLP (2022)
Tian Li, Manzil Zaheer, Sashank J. Reddi, Virginia Smith
Private Adaptive Optimization with Side Information. CoRR (2022)
Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Manzil Zaheer, Hannaneh Hajishirzi, Robin Jia, Andrew McCallum
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs. ICML (2022)
Mingda Qiao, Guru Guruganesh, Ankit Singh Rawat, Kumar Avinava Dubey, Manzil Zaheer
A Fourier Approach to Mixture Learning. NeurIPS (2022)
Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh
Deep Hierarchy in Bandits. CoRR (2022)
Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh
Hierarchical Bayesian Bandits. AISTATS (2022)
Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar
Teacher Guided Training: An Efficient Framework for Knowledge Transfer. CoRR (2022)
Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, Xiaotie Deng
A Context-Integrated Transformer-Based Neural Network for Auction Design. ICML (2022)
Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Robin Jia, Manzil Zaheer, Hannaneh Hajishirzi, Andrew McCallum
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs. CoRR (2022)
Adam Liska, Tomás Kociský, Elena Gribovskaya, Tayfun Terzi, Eren Sezener, Devang Agrawal, Cyprien de Masson d'Autume, Tim Scholtes, Manzil Zaheer, Susannah Young, Ellen Gilsenan-McMahon, Sophia Austin, Phil Blunsom, Angeliki Lazaridou
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models. CoRR (2022)
Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan
Longtonotes: OntoNotes with Longer Coreference Chains. CoRR (2022)
Tian Li, Manzil Zaheer, Ken Ziyu Liu, Sashank J. Reddi, H. Brendan McMahan, Virginia Smith
Differentially Private Adaptive Optimization with Delayed Preconditioners. CoRR (2022)
Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh
Deep Hierarchy in Bandits. ICML (2022)
Zhiyuan Li, Srinadh Bhojanapalli, Manzil Zaheer, Sashank J. Reddi, Sanjiv Kumar
Robust Training of Neural Networks using Scale Invariant Architectures. CoRR (2022)
Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization. CoRR (2022)
Soumya Basu, Ankit Singh Rawat, Manzil Zaheer
Generalization Properties of Retrieval-based Models. CoRR (2022)
Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus
Learning to Navigate Wikipedia by Taking Random Walks. NeurIPS (2022)
Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, Xiaotie Deng
A Context-Integrated Transformer-Based Neural Network for Auction Design. CoRR (2022)
Zhiyuan Li, Srinadh Bhojanapalli, Manzil Zaheer, Sashank J. Reddi, Sanjiv Kumar
Robust Training of Neural Networks Using Scale Invariant Architectures. ICML (2022)
Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar
Large Language Models with Controllable Working Memory. CoRR (2022)
Tian Li, Manzil Zaheer, Sashank J. Reddi, Virginia Smith
Private Adaptive Optimization with Side information. ICML (2022)
Mingda Qiao, Guru Guruganesh, Ankit Singh Rawat, Avinava Dubey, Manzil Zaheer
A Fourier Approach to Mixture Learning. CoRR (2022)
Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier
Thompson Sampling with a Mixture Prior. AISTATS (2022)
Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus
Learning to Navigate Wikipedia by Taking Random Walks. CoRR (2022)
Adam Liska, Tomás Kociský, Elena Gribovskaya, Tayfun Terzi, Eren Sezener, Devang Agrawal, Cyprien de Masson d'Autume, Tim Scholtes, Manzil Zaheer, Susannah Young, Ellen Gilsenan-McMahon, Sophia Austin, Phil Blunsom, Angeliki Lazaridou
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models. ICML (2022)
Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton
Compositional Generalization and Decomposition in Neural Program Synthesis. CoRR (2022)
Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer
Questions Are All You Need to Train a Dense Passage Retriever. CoRR (2022)
Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horvath, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu
A Field Guide to Federated Optimization. CoRR (2021)
Nicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu
Scalable Hierarchical Agglomerative Clustering. KDD (2021)
Soumya Basu, Branislav Kveton, Manzil Zaheer, Csaba Szepesvári
No Regrets for Learning the Prior in Bandits. CoRR (2021)
Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay-Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum
Case-based Reasoning for Natural Language Queries over Knowledge Bases. CoRR (2021)
Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Amr Ahmed, Sanjiv Kumar
When in Doubt, Summon the Titans: Efficient Inference with Large Models. CoRR (2021)
Soumya Basu, Branislav Kveton, Manzil Zaheer, Csaba Szepesvári
No Regrets for Learning the Prior in Bandits. NeurIPS (2021)
Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvári
Meta-Thompson Sampling. CoRR (2021)
Honglin Yuan, Manzil Zaheer, Sashank J. Reddi
Federated Composite Optimization. ICML (2021)
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
Exact and approximate hierarchical clustering using A. UAI (2021)
Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen
Differentiable Open-Ended Commonsense Reasoning. NAACL-HLT (2021)
Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier
Thompson Sampling with a Mixture Prior. CoRR (2021)
Sashank J. Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konecný, Sanjiv Kumar, Hugh Brendan McMahan
Adaptive Federated Optimization. ICLR (2021)
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
Exact and Approximate Hierarchical Clustering Using A. CoRR (2021)
Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan, Andrew McCallum
Scaling Within Document Coreference to Long Texts. ACL/IJCNLP (Findings) (2021)
Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh
Hierarchical Bayesian Bandits. CoRR (2021)
Ethan Shen, Maria Brbic, Nicholas Monath, Jiaqi Zhai, Manzil Zaheer, Jure Leskovec
Model-Agnostic Graph Regularization for Few-Shot Learning. CoRR (2021)
Nicholas Monath, Manzil Zaheer, Kumar Avinava Dubey, Amr Ahmed, Andrew McCallum
DAG-Structured Clustering by Nearest Neighbors. AISTATS (2021)
Rina Panigrahy, Xin Wang, Manzil Zaheer
Sketch based Memory for Neural Networks. AISTATS (2021)
Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer
Latent Programmer: Discrete Latent Codes for Program Synthesis. ICML (2021)
Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum
Case-based Reasoning for Natural Language Queries over Knowledge Bases. EMNLP (1) (2021)
Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvári
Meta-Thompson Sampling. ICML (2021)
Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes. AAAI (2021)
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed
Non-Stationary Off-Policy Optimization. AISTATS (2021)
Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed
Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies. ICLR (2021)
Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum
A Simple Approach to Case-Based Reasoning in Knowledge Bases. AKBC (2020)
Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer
Latent Programmer: Discrete Latent Codes for Program Synthesis. CoRR (2020)
Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix X. Yu, Sanjiv Kumar
Modifying Memories in Transformer Models. CoRR (2020)
Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum
Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion. CoRR (2020)
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed
Piecewise-Stationary Off-Policy Optimization. CoRR (2020)
Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function. CoRR (2020)
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier
Non-Stationary Latent Bandits. CoRR (2020)
Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum
Probabilistic Case-based Reasoning in Knowledge Bases. EMNLP (Findings) (2020)
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier
Latent Bandits Revisited. CoRR (2020)
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed
Big Bird: Transformers for Longer Sequences. NeurIPS (2020)
Daniel A. Abolafia, Rishabh Singh, Manzil Zaheer, Charles Sutton
Towards Modular Algorithm Induction. CoRR (2020)
Craig Boutilier, Chih-Wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvári, Manzil Zaheer
Differentiable Meta-Learning of Bandit Policies. NeurIPS (2020)
Kwangho Kim, Jisu Kim, Manzil Zaheer, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman
PLLay: Efficient Topological Layer based on Persistent Landscapes. NeurIPS (2020)
Sashank J. Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konecný, Sanjiv Kumar, H. Brendan McMahan
Adaptive Federated Optimization. CoRR (2020)
Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu
Scalable Bottom-Up Hierarchical Clustering. CoRR (2020)
Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith
FedDANE: A Federated Newton-Type Method. CoRR (2020)
Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed
Anchor & Transform: Learning Sparse Representations of Discrete Objects. CoRR (2020)
Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
Robust Large-Margin Learning in Hyperbolic Space. CoRR (2020)
Christopher M. Bender, Kevin O'Connor, Yang Li, Juan Jose Garcia, Junier Oliva, Manzil Zaheer
Exchangeable Generative Models with Flow Scans. AAAI (2020)
Branislav Kveton, Manzil Zaheer, Csaba Szepesvári, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier
Randomized Exploration in Generalized Linear Bandits. AISTATS (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Manzil Zaheer