Manzil Zaheer

According to our database, Manzil Zaheer authored at least 120 papers between 2011 and 2024.

Collaborative distances:

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

2024

Incremental Extractive Opinion Summarization Using Cover Trees.

Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi

Trans. Mach. Learn. Res., 2024

Efficient Adaptive Federated Optimization.

Su Hyeong Lee, Sidharth Sharma, Manzil Zaheer, Tian Li

CoRR, 2024

Natural Language Outlines for Code: Literate Programming in the LLM Era.

Kensen Shi, Deniz Altinbüken, Saswat Anand, Mihai Christodorescu, Katja Grünwedel, Alexa Koenings, Sai Naidu, Anurag Pathak, Marc Rasi, Fredde Ribeiro, Brandon Ruffin, Siddhant Sanyam, Maxim Tabachnyk, Sara Toth, Roy Tu, Tobias Welp, Pengcheng Yin, Manzil Zaheer, Satish Chandra, Charles Sutton

CoRR, 2024

Deep Reinforcement Learning for Sequential Combinatorial Auctions.

Sai Srivatsa Ravindranath, Zhe Feng, Di Wang, Manzil Zaheer, Aranyak Mehta, David C. Parkes

CoRR, 2024

Can Public Large Language Models Help Private Cross-device Federated Learning?

Boxin Wang, Yibo Zhang, Yuan Cao, Bo Li, Hugh McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks.

Nicholas Monath, Will Sussman Grathwohl, Michael Boratko, Rob Fergus, Andrew McCallum, Manzil Zaheer

Proceedings of the Forty-first International Conference on Machine Learning, 2024

USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval.

Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Wittawat Jitkrittum, Veeranjaneyulu Sadhanala, Sadeep Jayasumana, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Statistical Framework for Data-dependent Retrieval-Augmented Models.

Soumya Basu, Ankit Singh Rawat, Manzil Zaheer

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders.

Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis.

Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Functional Interpolation for Relative Positions improves Long Context Transformers.

Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Analysis of Plan-based Retrieval for Grounded Text Generation.

Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Questions Are All You Need to Train a Dense Passage Retriever.

Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer

Trans. Assoc. Comput. Linguistics, 2023

ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent.

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

CoRR, 2023

ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis.

Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton

CoRR, 2023

Machine Reading Comprehension using Case-based Reasoning.

Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Rajarshi Das, Manzil Zaheer, Jay-Yoon Lee, Hannaneh Hajishirzi, Andrew McCallum

CoRR, 2023

Can Public Large Language Models Help Private Cross-device Federated Learning?

Boxin Wang, Jacky Yibo Zhang, Yuan Cao, Bo Li, H. Brendan McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer

CoRR, 2023

Adaptive Selection of Anchor Items for CUR-based k-NN search with Cross-Encoders.

Nishant Yadav, Nicholas Monath, Manzil Zaheer, Andrew McCallum

CoRR, 2023

EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval.

Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Sadeep Jayasumana, Veeranjaneyulu Sadhanala, Wittawat Jitkrittum, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar

CoRR, 2023

ResMem: Learn what you can and memorize the rest.

Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar

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

Online Level-wise Hierarchical Clustering.

Nicholas Monath, Manzil Zaheer, Andrew McCallum

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multi-Task Off-Policy Learning from Bandit Feedback.

Joey Hong, Branislav Kveton, Manzil Zaheer, Sumeet Katariya, Mohammad Ghavamzadeh

Proceedings of the International Conference on Machine Learning, 2023

A Statistical Perspective on Retrieval-Based Models.

Soumya Basu, Ankit Singh Rawat, Manzil Zaheer

Proceedings of the International Conference on Machine Learning, 2023

Teacher Guided Training: An Efficient Framework for Knowledge Transfer.

Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Differentially Private Adaptive Optimization with Delayed Preconditioners.

Tian Li, Manzil Zaheer, Ken Liu, Sashank J. Reddi, Hugh Brendan McMahan, Virginia Smith

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition.

Nishant Yadav, Nicholas Monath, Manzil Zaheer, Andrew McCallum

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Machine Reading Comprehension using Case-based Reasoning.

Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Jay-Yoon Lee, Hannaneh Hajishirzi, Manzil Zaheer, Andrew McCallum

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Longtonotes: OntoNotes with Longer Coreference Chains.

Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining.

Nicholas Monath, Manzil Zaheer, Kelsey Allen, Andrew McCallum

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Large Language Models with Controllable Working Memory.

Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Generalization Properties of Retrieval-based Models.

Soumya Basu, Ankit Singh Rawat, Manzil Zaheer

CoRR, 2022

Compositional Generalization and Decomposition in Neural Program Synthesis.

Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton

CoRR, 2022

Learning to Navigate Wikipedia by Taking Random Walks.

Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus

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

A Fourier Approach to Mixture Learning.

Mingda Qiao, Guru Guruganesh, Ankit Singh Rawat, Kumar Avinava Dubey, Manzil Zaheer

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

StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models.

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

Proceedings of the International Conference on Machine Learning, 2022

Deep Hierarchy in Bandits.

Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh

Proceedings of the International Conference on Machine Learning, 2022

Knowledge Base Question Answering by Case-based Reasoning over Subgraphs.

Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Manzil Zaheer, Hannaneh Hajishirzi, Robin Jia, Andrew McCallum

Proceedings of the International Conference on Machine Learning, 2022

Private Adaptive Optimization with Side information.

Tian Li, Manzil Zaheer, Sashank J. Reddi, Virginia Smith

Proceedings of the International Conference on Machine Learning, 2022

Robust Training of Neural Networks Using Scale Invariant Architectures.

Zhiyuan Li, Srinadh Bhojanapalli, Manzil Zaheer, Sashank J. Reddi, Sanjiv Kumar

Proceedings of the International Conference on Machine Learning, 2022

A Context-Integrated Transformer-Based Neural Network for Auction Design.

Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, Xiaotie Deng

Proceedings of the International Conference on Machine Learning, 2022

Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization.

Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Thompson Sampling with a Mixture Prior.

Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Hierarchical Bayesian Bandits.

Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

When in Doubt, Summon the Titans: Efficient Inference with Large Models.

Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Amr Ahmed, Sanjiv Kumar

CoRR, 2021

A Field Guide to Federated Optimization.

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 Horváth, 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

CoRR, 2021

Model-Agnostic Graph Regularization for Few-Shot Learning.

Ethan Shen, Maria Brbic, Nicholas Monath, Jiaqi Zhai, Manzil Zaheer, Jure Leskovec

CoRR, 2021

Exact and approximate hierarchical clustering using A.

Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

No Regrets for Learning the Prior in Bandits.

Soumya Basu, Branislav Kveton, Manzil Zaheer, Csaba Szepesvári

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

Differentiable Open-Ended Commonsense Reasoning.

Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Scalable Hierarchical Agglomerative Clustering.

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

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

Federated Composite Optimization.

Honglin Yuan, Manzil Zaheer, Sashank J. Reddi

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

Meta-Thompson Sampling.

Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvári

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

Latent Programmer: Discrete Latent Codes for Program Synthesis.

Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer

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

Adaptive Federated Optimization.

Sashank J. Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konecný, Sanjiv Kumar, Hugh Brendan McMahan

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

Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies.

Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed

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

Case-based Reasoning for Natural Language Queries over Knowledge Bases.

Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Sketch based Memory for Neural Networks.

Rina Panigrahy, Xin Wang, Manzil Zaheer

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

DAG-Structured Clustering by Nearest Neighbors.

Nicholas Monath, Manzil Zaheer, Kumar Avinava Dubey, Amr Ahmed, Andrew McCallum

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

Non-Stationary Off-Policy Optimization.

Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed

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

Scaling Within Document Coreference to Long Texts.

Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan, Andrew McCallum

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes.

Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed

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

2020

Non-Stationary Latent Bandits.

Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier

CoRR, 2020

Modifying Memories in Transformer Models.

Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix X. Yu, Sanjiv Kumar

CoRR, 2020

Scalable Bottom-Up Hierarchical Clustering.

Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu

CoRR, 2020

Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion.

Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum

CoRR, 2020

Piecewise-Stationary Off-Policy Optimization.

Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed

CoRR, 2020

Differentiable Meta-Learning in Contextual Bandits.

Branislav Kveton, Martin Mladenov, Chih-Wei Hsu, Manzil Zaheer, Csaba Szepesvári, Craig Boutilier

CoRR, 2020

Anchor & Transform: Learning Sparse Representations of Discrete Objects.

Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed

CoRR, 2020

Towards Modular Algorithm Induction.

Daniel A. Abolafia, Rishabh Singh, Manzil Zaheer, Charles Sutton

CoRR, 2020

Differentiable Bandit Exploration.

Craig Boutilier, Chih-Wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvári, Manzil Zaheer

CoRR, 2020

Big Bird: Transformers for Longer Sequences.

Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed

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

PLLay: Efficient Topological Layer based on Persistent Landscapes.

Kwangho Kim, Jisu Kim, Manzil Zaheer, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman

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

Latent Bandits Revisited.

Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier

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

Differentiable Meta-Learning of Bandit Policies.

Craig Boutilier, Chih-Wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvári, Manzil Zaheer

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

Robust large-margin learning in hyperbolic space.

Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar

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

Federated Optimization in Heterogeneous Networks.

Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith

Proceedings of the Third Conference on Machine Learning and Systems, 2020

Differentiable Reasoning over a Virtual Knowledge Base.

Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen

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

Probabilistic Case-based Reasoning in Knowledge Bases.

Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

A Simple Approach to Case-Based Reasoning in Knowledge Bases.

Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

Randomized Exploration in Generalized Linear Bandits.

Branislav Kveton, Manzil Zaheer, Csaba Szepesvári, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Exchangeable Generative Models with Flow Scans.

Christopher M. Bender, Kevin O'Connor, Yang Li, Juan Jose Garcia, Junier Oliva, Manzil Zaheer

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

2019

Developing Creative AI to Generate Sculptural Objects.

Songwei Ge, Austin Dill, Eunsu Kang, Chun-Liang Li, Lingyao Zhang, Manzil Zaheer, Barnabás Póczos

CoRR, 2019

The Myths of Our Time: Fake News.

Vít Ruzicka, Eunsu Kang, David Gordon, Ankita Patel, Jacqui Fashimpaur, Manzil Zaheer

CoRR, 2019

Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models.

Manzil Zaheer, Amr Ahmed, Yuan Wang, Daniel Silva, Marc Najork, Yuchen Wu, Shibani Sanan, Surojit Chatterjee

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference.

Rajarshi Das, Ameya Godbole, Manzil Zaheer, Shehzaad Dhuliawala, Andrew McCallum

Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space.

Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed

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

Point Cloud GAN.

Chun-Liang Li, Manzil Zaheer, Yang Zhang, Barnabás Póczos, Ruslan Salakhutdinov

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering.

Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum

Proceedings of the 7th International Conference on Learning Representations, 2019

Towards Gradient Free and Projection Free Stochastic Optimization.

Anit Kumar Sahu, Manzil Zaheer, Soummya Kar

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

FedDANE: A Federated Newton-Type Method.

Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering.

Rajarshi Das, Ameya Godbole, Dilip Kavarthapu, Zhiyu Gong, Abhishek Singhal, Mo Yu, Xiaoxiao Guo, Tian Gao, Hamed Zamani, Manzil Zaheer, Andrew McCallum

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function.

Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

On the Convergence of Federated Optimization in Heterogeneous Networks.

Anit Kumar Sahu, Tian Li, Maziar Sanjabi, Manzil Zaheer, Ameet Talwalkar, Virginia Smith

CoRR, 2018

Hallucinating Point Cloud into 3D Sculptural Object.

Chun-Liang Li, Eunsu Kang, Songwei Ge, Lingyao Zhang, Austin Dill, Manzil Zaheer, Barnabás Póczos

CoRR, 2018

Adaptive Methods for Nonconvex Optimization.

Manzil Zaheer, Sashank J. Reddi, Devendra Singh Sachan, Satyen Kale, Sanjiv Kumar

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

Nonparametric Density Estimation under Adversarial Losses.

Shashank Singh, Ananya Uppal, Boyue Li, Chun-Liang Li, Manzil Zaheer, Barnabás Póczos

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

Transformation Autoregressive Networks.

Junier B. Oliva, Avinava Dubey, Manzil Zaheer, Barnabás Póczos, Ruslan Salakhutdinov, Eric P. Xing, Jeff Schneider

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

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning.

Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum

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

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text.

Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Compressed Video Action Recognition.

Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Investigating the Working of Text Classifiers.

Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov

Proceedings of the 27th International Conference on Computational Linguistics, 2018

A Generic Approach for Escaping Saddle points.

Sashank J. Reddi, Manzil Zaheer, Suvrit Sra, Barnabás Póczos, Francis R. Bach, Ruslan Salakhutdinov, Alexander J. Smola

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

State Space LSTM Models with Particle MCMC Inference.

Xun Zheng, Manzil Zaheer, Amr Ahmed, Yuan Wang, Eric P. Xing, Alexander J. Smola

CoRR, 2017

Spectral Methods for Nonparametric Models.

Hsiao-Yu Fish Tung, Chao-Yuan Wu, Manzil Zaheer, Alexander J. Smola

CoRR, 2017

Deep Sets.

Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh, Barnabás Póczos, Ruslan Salakhutdinov, Alexander J. Smola

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

Canopy Fast Sampling with Cover Trees.

Manzil Zaheer, Satwik Kottur, Amr Ahmed, José M. F. Moura, Alexander J. Smola

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

Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data.

Manzil Zaheer, Amr Ahmed, Alexander J. Smola

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

Go for a Walk and Arrive at the Answer: Reasoning Over Knowledge Bases with Reinforcement Learning.

Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks.

Rajarshi Das, Manzil Zaheer, Siva Reddy, Andrew McCallum

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Exponential Stochastic Cellular Automata for Massively Parallel Inference.

Manzil Zaheer, Michael L. Wick, Jean-Baptiste Tristan, Alexander J. Smola, Guy L. Steele Jr.

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Co-Learning Bayesian Model Fusion: Efficient Performance Modeling of Analog and Mixed-Signal Circuits Using Side Information.

Fa Wang, Manzil Zaheer, Xin Li, Jean-Olivier Plouchart, Alberto Valdes-Garcia

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

mTunes: efficient post-silicon tuning of mixed-signal/RF integrated circuits based on Markov decision process.

Manzil Zaheer, Fa Wang, Chenjie Gu, Xin Li

Proceedings of the 52nd Annual Design Automation Conference, 2015

Preferential Attachment in Graphs with Affinities.

Jay Lee, Manzil Zaheer, Stephan Günnemann, Alexander J. Smola

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Gaussian LDA for Topic Models with Word Embeddings.

Rajarshi Das, Manzil Zaheer, Chris Dyer

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Multiple-Population Moment Estimation: Exploiting Interpopulation Correlation for Efficient Moment Estimation in Analog/Mixed-Signal Validation.

Chenjie Gu, Manzil Zaheer, Xin Li

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014

Multiple-Population Moment Estimation: Exploiting Inter-Population Correlation for Efficient Moment Estimation in Analog/Mixed-Signal Validation.

Chenjie Gu, Manzil Zaheer, Xin Li

CoRR, 2014

MPME-DP: multi-population moment estimation via dirichlet process for efficient validation of analog/mixed-signal circuits.

Manzil Zaheer, Xin Li, Chenjie Gu

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2014

2012

Electric appliance classification based on distributed high resolution current sensing.

Andreas Reinhardt, Dominic Burkhardt, Manzil Zaheer, Ralf Steinmetz

Proceedings of the 37th Annual IEEE Conference on Local Computer Networks, 2012

Primary side control based inductively coupled powering scheme for biomedical implants.

Manzil Zaheer, Jaspreet Singh Suri, Harshal B. Nemade

Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012

2011

SmartMeter.KOM: A low-cost wireless sensor for distributed power metering.

Andreas Reinhardt, Dominic Burkhardt, Parag S. Mogre, Manzil Zaheer, Ralf Steinmetz

Proceedings of the IEEE 36th Conference on Local Computer Networks, 2011