Manzil Zaheer - RankMe

185 papers A* 48A 15B 2Misc 1Journal 96Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Asynchronous Heavy-Tailed Optimization. CoRR Junfei Sun, Dixi Yao, Xuchen Gong, Tahseen Rabbani, Manzil Zaheer, Tian Li
2026	J	`jnl`	Interleaved Head Attention. CoRR Sai Surya Duvvuri, Chanakya Ekbote, Rachit Bansal, Rishabh Tiwari, Devvrit Khatri, David Brandfonbrener, Paul Pu Liang, Inderjit S. Dhillon, Manzil Zaheer
2025	J	`jnl`	CIMemories: A Compositional Benchmark for Contextual Integrity of Persistent Memory in LLMs. CoRR Niloofar Mireshghallah, Neal Mangaokar, Narine Kokhlikyan, Arman Zharmagambetov, Manzil Zaheer, Saeed Mahloujifar, Kamalika Chaudhuri
2025	J	`jnl`	Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models. CoRR Yukun Huang, Sanxing Chen, Jian Pei, Manzil Zaheer, Bhuwan Dhingra
2025	A*	`conf`	Efficient Distributed Optimization under Heavy-Tailed Noise. ICML Su Hyeong Lee, Manzil Zaheer, Tian Li
2025	J	`jnl`	Efficient Distributed Optimization under Heavy-Tailed Noise. CoRR Su Hyeong Lee, Manzil Zaheer, Tian Li
2025	J	`jnl`	Fast and Simplex: 2-Simplicial Attention in Triton. CoRR Aurko Roy, Timothy Chou, Sai Surya Duvvuri, Sijia Chen, Jiecao Yu, Xiaodong Wang, Manzil Zaheer, Rohan Anil
2025	—	`conf`	Natural Language Outlines for Code: Literate Programming in the LLM Era. SIGSOFT FSE Companion 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
2025	J	`jnl`	Rethinking Thinking Tokens: LLMs as Improvement Operators. CoRR Lovish Madaan, Aniket Didolkar, Suchin Gururangan, John Quan, Ruan Silva, Ruslan Salakhutdinov, Manzil Zaheer, Sanjeev Arora, Anirudh Goyal
2025	J	`jnl`	The Art of Scaling Reinforcement Learning Compute for LLMs. CoRR Devvrit Khatri, Lovish Madaan, Rishabh Tiwari, Rachit Bansal, Sai Surya Duvvuri, Manzil Zaheer, Inderjit S. Dhillon, David Brandfonbrener, Rishabh Agarwal
2025	J	`jnl`	Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration. CoRR Ahmed Khaled, Satyen Kale, Arthur Douillard, Chi Jin, Rob Fergus, Manzil Zaheer
2024	A*	`conf`	A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks. ICML Nicholas Monath, Will Sussman Grathwohl, Michael Boratko, Rob Fergus, Andrew McCallum, Manzil Zaheer
2024	J	`jnl`	A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks. CoRR Nicholas Monath, Will Grathwohl, Michael Boratko, Rob Fergus, Andrew McCallum, Manzil Zaheer
2024	A*	`conf`	A Statistical Framework for Data-dependent Retrieval-Augmented Models. ICML Soumya Basu, Ankit Singh Rawat, Manzil Zaheer
2024	J	`jnl`	A Statistical Framework for Data-dependent Retrieval-Augmented Models. CoRR Soumya Basu, Ankit Singh Rawat, Manzil Zaheer
2024	A*	`conf`	Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders. ICLR Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum
2024	J	`jnl`	Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders. CoRR Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum
2024	A*	`conf`	Analysis of Plan-based Retrieval for Grounded Text Generation. EMNLP Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer
2024	J	`jnl`	Analysis of Plan-based Retrieval for Grounded Text Generation. CoRR Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer
2024	—	`conf`	Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL-HLT (Findings) Boxin Wang, Yibo Zhang, Yuan Cao, Bo Li, Hugh McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer
2024	J	`jnl`	Deep Reinforcement Learning for Sequential Combinatorial Auctions. CoRR Sai Srivatsa Ravindranath, Zhe Feng, Di Wang, Manzil Zaheer, Aranyak Mehta, David C. Parkes
2024	J	`jnl`	Efficient Adaptive Federated Optimization. CoRR Su Hyeong Lee, Sidharth Sharma, Manzil Zaheer, Tian Li
2024	A*	`conf`	ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. ICLR Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton
2024	A*	`conf`	Functional Interpolation for Relative Positions improves Long Context Transformers. ICLR Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli
2024	J	`jnl`	Incremental Extractive Opinion Summarization Using Cover Trees. CoRR Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi
2024	J	`jnl`	Incremental Extractive Opinion Summarization Using Cover Trees. Trans. Mach. Learn. Res. Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi
2024	J	`jnl`	Natural Language Outlines for Code: Literate Programming in the LLM Era. CoRR 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
2024	A*	`conf`	USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval. ICML Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Wittawat Jitkrittum, Veeranjaneyulu Sadhanala, Sadeep Jayasumana, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar
2023	A*	`conf`	A Statistical Perspective on Retrieval-Based Models. ICML Soumya Basu, Ankit Singh Rawat, Manzil Zaheer
2023	J	`jnl`	Adaptive Selection of Anchor Items for CUR-based k-NN search with Cross-Encoders. CoRR Nishant Yadav, Nicholas Monath, Manzil Zaheer, Andrew McCallum
2023	J	`jnl`	Can Public Large Language Models Help Private Cross-device Federated Learning? CoRR Boxin Wang, Jacky Yibo Zhang, Yuan Cao, Bo Li, H. Brendan McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer
2023	A*	`conf`	Differentially Private Adaptive Optimization with Delayed Preconditioners. ICLR Tian Li, Manzil Zaheer, Ken Liu, Sashank J. Reddi, Hugh Brendan McMahan, Virginia Smith
2023	—	`conf`	Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition. EMNLP (Findings) Nishant Yadav, Nicholas Monath, Manzil Zaheer, Andrew McCallum
2023	J	`jnl`	EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval. CoRR Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Sadeep Jayasumana, Veeranjaneyulu Sadhanala, Wittawat Jitkrittum, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar
2023	J	`jnl`	ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. CoRR Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton
2023	J	`jnl`	Functional Interpolation for Relative Positions Improves Long Context Transformers. CoRR Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli
2023	A	`conf`	Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining. AISTATS Nicholas Monath, Manzil Zaheer, Kelsey Allen, Andrew McCallum
2023	J	`jnl`	Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining. CoRR Nicholas Monath, Manzil Zaheer, Kelsey Allen, Andrew McCallum
2023	—	`conf`	Large Language Models with Controllable Working Memory. ACL (Findings) Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar
2023	—	`conf`	Longtonotes: OntoNotes with Longer Coreference Chains. EACL (Findings) Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan
2023	—	`conf`	Machine Reading Comprehension using Case-based Reasoning. EMNLP (Findings) Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Jay-Yoon Lee, Hannaneh Hajishirzi, Manzil Zaheer, Andrew McCallum
2023	J	`jnl`	Machine Reading Comprehension using Case-based Reasoning. CoRR Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Manzil Zaheer, Jay-Yoon Lee, Hannaneh Hajishirzi, Andrew McCallum
2023	A*	`conf`	Multi-Task Off-Policy Learning from Bandit Feedback. ICML Joey Hong, Branislav Kveton, Manzil Zaheer, Sumeet Katariya, Mohammad Ghavamzadeh
2023	A*	`conf`	Online Level-wise Hierarchical Clustering. KDD Nicholas Monath, Manzil Zaheer, Andrew McCallum
2023	J	`jnl`	Questions Are All You Need to Train a Dense Passage Retriever. Trans. Assoc. Comput. Linguistics Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer
2023	J	`jnl`	ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent. CoRR 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
2023	A*	`conf`	ResMem: Learn what you can and memorize the rest. NeurIPS Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar
2023	J	`jnl`	ResMem: Learn what you can and memorize the rest. CoRR Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar
2023	A*	`conf`	Teacher Guided Training: An Efficient Framework for Knowledge Transfer. ICLR Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar
2022	A*	`conf`	A Context-Integrated Transformer-Based Neural Network for Auction Design. ICML Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, Xiaotie Deng
2022	J	`jnl`	A Context-Integrated Transformer-Based Neural Network for Auction Design. CoRR Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, Xiaotie Deng
2022	A*	`conf`	A Fourier Approach to Mixture Learning. NeurIPS Mingda Qiao, Guru Guruganesh, Ankit Singh Rawat, Kumar Avinava Dubey, Manzil Zaheer
2022	J	`jnl`	A Fourier Approach to Mixture Learning. CoRR Mingda Qiao, Guru Guruganesh, Ankit Singh Rawat, Avinava Dubey, Manzil Zaheer
2022	J	`jnl`	Compositional Generalization and Decomposition in Neural Program Synthesis. CoRR Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton
2022	A*	`conf`	Deep Hierarchy in Bandits. ICML Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh
2022	J	`jnl`	Deep Hierarchy in Bandits. CoRR Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh
2022	J	`jnl`	Differentially Private Adaptive Optimization with Delayed Preconditioners. CoRR Tian Li, Manzil Zaheer, Ken Ziyu Liu, Sashank J. Reddi, H. Brendan McMahan, Virginia Smith
2022	A*	`conf`	Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization. EMNLP Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum
2022	J	`jnl`	Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization. CoRR Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum
2022	J	`jnl`	Generalization Properties of Retrieval-based Models. CoRR Soumya Basu, Ankit Singh Rawat, Manzil Zaheer
2022	A	`conf`	Hierarchical Bayesian Bandits. AISTATS Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh
2022	A*	`conf`	Knowledge Base Question Answering by Case-based Reasoning over Subgraphs. ICML Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Manzil Zaheer, Hannaneh Hajishirzi, Robin Jia, Andrew McCallum
2022	J	`jnl`	Knowledge Base Question Answering by Case-based Reasoning over Subgraphs. CoRR Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Robin Jia, Manzil Zaheer, Hannaneh Hajishirzi, Andrew McCallum
2022	J	`jnl`	Large Language Models with Controllable Working Memory. CoRR Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar
2022	A*	`conf`	Learning to Navigate Wikipedia by Taking Random Walks. NeurIPS Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus
2022	J	`jnl`	Learning to Navigate Wikipedia by Taking Random Walks. CoRR Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus
2022	J	`jnl`	Longtonotes: OntoNotes with Longer Coreference Chains. CoRR Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan
2022	J	`jnl`	Multi-Task Off-Policy Learning from Bandit Feedback. CoRR Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh
2022	J	`jnl`	Private Adaptive Optimization with Side Information. CoRR Tian Li, Manzil Zaheer, Sashank J. Reddi, Virginia Smith
2022	A*	`conf`	Private Adaptive Optimization with Side information. ICML Tian Li, Manzil Zaheer, Sashank J. Reddi, Virginia Smith
2022	J	`jnl`	Questions Are All You Need to Train a Dense Passage Retriever. CoRR Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer
2022	A*	`conf`	Robust Training of Neural Networks Using Scale Invariant Architectures. ICML Zhiyuan Li, Srinadh Bhojanapalli, Manzil Zaheer, Sashank J. Reddi, Sanjiv Kumar
2022	J	`jnl`	Robust Training of Neural Networks using Scale Invariant Architectures. CoRR Zhiyuan Li, Srinadh Bhojanapalli, Manzil Zaheer, Sashank J. Reddi, Sanjiv Kumar
2022	A*	`conf`	StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models. ICML 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
2022	J	`jnl`	StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models. CoRR 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
2022	J	`jnl`	Teacher Guided Training: An Efficient Framework for Knowledge Transfer. CoRR Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar
2022	A	`conf`	Thompson Sampling with a Mixture Prior. AISTATS Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier
2021	J	`jnl`	A Field Guide to Federated Optimization. CoRR 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
2021	A*	`conf`	Adaptive Federated Optimization. ICLR Sashank J. Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konecný, Sanjiv Kumar, Hugh Brendan McMahan
2021	A*	`conf`	Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies. ICLR Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed
2021	—	`conf`	Case-based Reasoning for Natural Language Queries over Knowledge Bases. EMNLP (1) Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum
2021	J	`jnl`	Case-based Reasoning for Natural Language Queries over Knowledge Bases. CoRR Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay-Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum
2021	A	`conf`	DAG-Structured Clustering by Nearest Neighbors. AISTATS Nicholas Monath, Manzil Zaheer, Kumar Avinava Dubey, Amr Ahmed, Andrew McCallum
2021	—	`conf`	Differentiable Open-Ended Commonsense Reasoning. NAACL-HLT Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen
2021	J	`jnl`	Exact and Approximate Hierarchical Clustering Using A. CoRR Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
2021	A	`conf`	Exact and approximate hierarchical clustering using A. UAI Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
2021	A*	`conf`	Federated Composite Optimization. ICML Honglin Yuan, Manzil Zaheer, Sashank J. Reddi
2021	J	`jnl`	Hierarchical Bayesian Bandits. CoRR Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh
2021	A*	`conf`	Latent Programmer: Discrete Latent Codes for Program Synthesis. ICML Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer
2021	A*	`conf`	Meta-Thompson Sampling. ICML Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvári
2021	J	`jnl`	Meta-Thompson Sampling. CoRR Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvári
2021	J	`jnl`	Model-Agnostic Graph Regularization for Few-Shot Learning. CoRR Ethan Shen, Maria Brbic, Nicholas Monath, Jiaqi Zhai, Manzil Zaheer, Jure Leskovec
2021	A*	`conf`	No Regrets for Learning the Prior in Bandits. NeurIPS Soumya Basu, Branislav Kveton, Manzil Zaheer, Csaba Szepesvári
2021	J	`jnl`	No Regrets for Learning the Prior in Bandits. CoRR Soumya Basu, Branislav Kveton, Manzil Zaheer, Csaba Szepesvári
2021	A	`conf`	Non-Stationary Off-Policy Optimization. AISTATS Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed
2021	A*	`conf`	Scalable Hierarchical Agglomerative Clustering. KDD 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
2021	—	`conf`	Scaling Within Document Coreference to Long Texts. ACL/IJCNLP (Findings) Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan, Andrew McCallum
2021	A	`conf`	Sketch based Memory for Neural Networks. AISTATS Rina Panigrahy, Xin Wang, Manzil Zaheer
2021	J	`jnl`	Thompson Sampling with a Mixture Prior. CoRR Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier
2021	A*	`conf`	Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes. AAAI Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed
2021	J	`jnl`	When in Doubt, Summon the Titans: Efficient Inference with Large Models. CoRR Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Amr Ahmed, Sanjiv Kumar
2020	—	`conf`	A Simple Approach to Case-Based Reasoning in Knowledge Bases. AKBC Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum
2020	J	`jnl`	A Simple Approach to Case-Based Reasoning in Knowledge Bases. CoRR Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum
2020	J	`jnl`	Adaptive Federated Optimization. CoRR Sashank J. Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konecný, Sanjiv Kumar, H. Brendan McMahan
2020	J	`jnl`	Anchor & Transform: Learning Sparse Representations of Discrete Objects. CoRR Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed
2020	A*	`conf`	Big Bird: Transformers for Longer Sequences. NeurIPS Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed
2020	J	`jnl`	Big Bird: Transformers for Longer Sequences. CoRR Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed
2020	J	`jnl`	Differentiable Bandit Exploration. CoRR Craig Boutilier, Chih-Wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvári, Manzil Zaheer
2020	J	`jnl`	Differentiable Meta-Learning in Contextual Bandits. CoRR Branislav Kveton, Martin Mladenov, Chih-Wei Hsu, Manzil Zaheer, Csaba Szepesvári, Craig Boutilier
2020	A*	`conf`	Differentiable Meta-Learning of Bandit Policies. NeurIPS Craig Boutilier, Chih-Wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvári, Manzil Zaheer
2020	J	`jnl`	Differentiable Open-Ended Commonsense Reasoning. CoRR Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen
2020	A*	`conf`	Differentiable Reasoning over a Virtual Knowledge Base. ICLR Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen
2020	J	`jnl`	Differentiable Reasoning over a Virtual Knowledge Base. CoRR Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen
2020	A*	`conf`	Exchangeable Generative Models with Flow Scans. AAAI Christopher M. Bender, Kevin O'Connor, Yang Li, Juan Jose Garcia, Junier Oliva, Manzil Zaheer
2020	J	`jnl`	FedDANE: A Federated Newton-Type Method. CoRR Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith
2020	J	`jnl`	Federated Composite Optimization. CoRR Honglin Yuan, Manzil Zaheer, Sashank J. Reddi
2020	—	`conf`	Federated Optimization in Heterogeneous Networks. MLSys Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith
2020	A*	`conf`	Latent Bandits Revisited. NeurIPS Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier
2020	J	`jnl`	Latent Bandits Revisited. CoRR Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier
2020	J	`jnl`	Latent Programmer: Discrete Latent Codes for Program Synthesis. CoRR Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer
2020	J	`jnl`	Modifying Memories in Transformer Models. CoRR Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix X. Yu, Sanjiv Kumar
2020	J	`jnl`	Non-Stationary Latent Bandits. CoRR Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier
2020	A*	`conf`	PLLay: Efficient Topological Layer based on Persistent Landscapes. NeurIPS Kwangho Kim, Jisu Kim, Manzil Zaheer, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman
2020	J	`jnl`	Piecewise-Stationary Off-Policy Optimization. CoRR Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed
2020	J	`jnl`	Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion. CoRR Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum
2020	—	`conf`	Probabilistic Case-based Reasoning in Knowledge Bases. EMNLP (Findings) Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum
2020	A	`conf`	Randomized Exploration in Generalized Linear Bandits. AISTATS Branislav Kveton, Manzil Zaheer, Csaba Szepesvári, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier
2020	J	`jnl`	Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function. CoRR Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov
2020	J	`jnl`	Robust Large-Margin Learning in Hyperbolic Space. CoRR Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
2020	A*	`conf`	Robust large-margin learning in hyperbolic space. NeurIPS Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
2020	J	`jnl`	Scalable Bottom-Up Hierarchical Clustering. CoRR Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu
2020	J	`jnl`	Towards Modular Algorithm Induction. CoRR Daniel A. Abolafia, Rishabh Singh, Manzil Zaheer, Charles Sutton
2020	J	`jnl`	Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes. CoRR Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed
2019	—	`conf`	Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference. TextGraphs@EMNLP Rajarshi Das, Ameya Godbole, Manzil Zaheer, Shehzaad Dhuliawala, Andrew McCallum
2019	J	`jnl`	Developing Creative AI to Generate Sculptural Objects. CoRR Songwei Ge, Austin Dill, Eunsu Kang, Chun-Liang Li, Lingyao Zhang, Manzil Zaheer, Barnabás Póczos
2019	Misc	`conf`	FedDANE: A Federated Newton-Type Method. ACSSC Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith
2019	A*	`conf`	Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. KDD Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed
2019	—	`conf`	Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. MRQA@EMNLP Rajarshi Das, Ameya Godbole, Dilip Kavarthapu, Zhiyu Gong, Abhishek Singhal, Mo Yu, Xiaoxiao Guo, Tian Gao, Hamed Zamani, Manzil Zaheer, Andrew McCallum
2019	J	`jnl`	Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. CoRR Ameya Godbole, Dilip Kavarthapu, Rajarshi Das, Zhiyu Gong, Abhishek Singhal, Hamed Zamani, Mo Yu, Tian Gao, Xiaoxiao Guo, Manzil Zaheer, Andrew McCallum
2019	—	`conf`	Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering. ICLR (Poster) Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum
2019	J	`jnl`	Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering. CoRR Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum
2019	—	`conf`	Point Cloud GAN. DGS@ICLR Chun-Liang Li, Manzil Zaheer, Yang Zhang, Barnabás Póczos, Ruslan Salakhutdinov
2019	J	`jnl`	Randomized Exploration in Generalized Linear Bandits. CoRR Branislav Kveton, Manzil Zaheer, Csaba Szepesvári, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier
2019	A*	`conf`	Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function. AAAI Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov
2019	J	`jnl`	The Myths of Our Time: Fake News. CoRR Vít Ruzicka, Eunsu Kang, David Gordon, Ankita Patel, Jacqui Fashimpaur, Manzil Zaheer
2019	A	`conf`	Towards Gradient Free and Projection Free Stochastic Optimization. AISTATS Anit Kumar Sahu, Manzil Zaheer, Soummya Kar
2019	A	`conf`	Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models. WSDM Manzil Zaheer, Amr Ahmed, Yuan Wang, Daniel Silva, Marc Najork, Yuchen Wu, Shibani Sanan, Surojit Chatterjee
2018	A	`conf`	A Generic Approach for Escaping Saddle points. AISTATS Sashank J. Reddi, Manzil Zaheer, Suvrit Sra, Barnabás Póczos, Francis R. Bach, Ruslan Salakhutdinov, Alexander J. Smola
2018	A*	`conf`	Adaptive Methods for Nonconvex Optimization. NeurIPS Manzil Zaheer, Sashank J. Reddi, Devendra Singh Sachan, Satyen Kale, Sanjiv Kumar
2018	A*	`conf`	Compressed Video Action Recognition. CVPR Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl
2018	—	`conf`	Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning. ICLR (Poster) Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum
2018	J	`jnl`	Hallucinating Point Cloud into 3D Sculptural Object. CoRR Chun-Liang Li, Eunsu Kang, Songwei Ge, Lingyao Zhang, Austin Dill, Manzil Zaheer, Barnabás Póczos
2018	B	`conf`	Investigating the Working of Text Classifiers. COLING Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov
2018	J	`jnl`	Investigating the Working of Text Classifiers. CoRR Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov
2018	A*	`conf`	Nonparametric Density Estimation under Adversarial Losses. NeurIPS Shashank Singh, Ananya Uppal, Boyue Li, Chun-Liang Li, Manzil Zaheer, Barnabás Póczos
2018	J	`jnl`	Nonparametric Density Estimation under Adversarial Losses. CoRR Shashank Singh, Ananya Uppal, Boyue Li, Chun-Liang Li, Manzil Zaheer, Barnabás Póczos
2018	J	`jnl`	On the Convergence of Federated Optimization in Heterogeneous Networks. CoRR Anit Kumar Sahu, Tian Li, Maziar Sanjabi, Manzil Zaheer, Ameet Talwalkar, Virginia Smith
2018	A*	`conf`	Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. EMNLP Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen
2018	J	`jnl`	Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. CoRR Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen
2018	J	`jnl`	Point Cloud GAN. CoRR Chun-Liang Li, Manzil Zaheer, Yang Zhang, Barnabás Póczos, Ruslan Salakhutdinov
2018	J	`jnl`	Towards Gradient Free and Projection Free Stochastic Optimization. CoRR Anit Kumar Sahu, Manzil Zaheer, Soummya Kar
2018	A*	`conf`	Transformation Autoregressive Networks. ICML Junier B. Oliva, Avinava Dubey, Manzil Zaheer, Barnabás Póczos, Ruslan Salakhutdinov, Eric P. Xing, Jeff Schneider
2017	J	`jnl`	A Generic Approach for Escaping Saddle points. CoRR Sashank J. Reddi, Manzil Zaheer, Suvrit Sra, Barnabás Póczos, Francis R. Bach, Ruslan Salakhutdinov, Alexander J. Smola
2017	A*	`conf`	Canopy Fast Sampling with Cover Trees. ICML Manzil Zaheer, Satwik Kottur, Amr Ahmed, José M. F. Moura, Alexander J. Smola
2017	J	`jnl`	Compressed Video Action Recognition. CoRR Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl
2017	—	`conf`	Deep Sets. NIPS Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh, Barnabás Póczos, Ruslan Salakhutdinov, Alexander J. Smola
2017	J	`jnl`	Deep Sets. CoRR Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh, Barnabás Póczos, Ruslan Salakhutdinov, Alexander J. Smola
2017	—	`conf`	Go for a Walk and Arrive at the Answer: Reasoning Over Knowledge Bases with Reinforcement Learning. AKBC@NIPS Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum
2017	J	`jnl`	Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning. CoRR Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alexander J. Smola, Andrew McCallum
2017	A*	`conf`	Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data. ICML Manzil Zaheer, Amr Ahmed, Alexander J. Smola
2017	—	`conf`	Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks. ACL (2) Rajarshi Das, Manzil Zaheer, Siva Reddy, Andrew McCallum
2017	J	`jnl`	Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks. CoRR Rajarshi Das, Manzil Zaheer, Siva Reddy, Andrew McCallum
2017	J	`jnl`	Spectral Methods for Nonparametric Models. CoRR Hsiao-Yu Fish Tung, Chao-Yuan Wu, Manzil Zaheer, Alexander J. Smola
2017	J	`jnl`	State Space LSTM Models with Particle MCMC Inference. CoRR Xun Zheng, Manzil Zaheer, Amr Ahmed, Yuan Wang, Eric P. Xing, Alexander J. Smola
2016	A	`conf`	Exponential Stochastic Cellular Automata for Massively Parallel Inference. AISTATS Manzil Zaheer, Michael L. Wick, Jean-Baptiste Tristan, Alexander J. Smola, Guy L. Steele Jr.
2015	A	`conf`	Co-Learning Bayesian Model Fusion: Efficient Performance Modeling of Analog and Mixed-Signal Circuits Using Side Information. ICCAD Fa Wang, Manzil Zaheer, Xin Li, Jean-Olivier Plouchart, Alberto Valdes-Garcia
2015	—	`conf`	Gaussian LDA for Topic Models with Word Embeddings. ACL (1) Rajarshi Das, Manzil Zaheer, Chris Dyer
2015	A	`conf`	Preferential Attachment in Graphs with Affinities. AISTATS Jay Lee, Manzil Zaheer, Stephan Günnemann, Alexander J. Smola
2015	A*	`conf`	mTunes: efficient post-silicon tuning of mixed-signal/RF integrated circuits based on Markov decision process. DAC Manzil Zaheer, Fa Wang, Chenjie Gu, Xin Li
2014	A	`conf`	MPME-DP: multi-population moment estimation via dirichlet process for efficient validation of analog/mixed-signal circuits. ICCAD Manzil Zaheer, Xin Li, Chenjie Gu
2014	J	`jnl`	Multiple-Population Moment Estimation: Exploiting Inter-Population Correlation for Efficient Moment Estimation in Analog/Mixed-Signal Validation. CoRR Chenjie Gu, Manzil Zaheer, Xin Li
2014	J	`jnl`	Multiple-Population Moment Estimation: Exploiting Interpopulation Correlation for Efficient Moment Estimation in Analog/Mixed-Signal Validation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Chenjie Gu, Manzil Zaheer, Xin Li
2012	—	`conf`	Electric appliance classification based on distributed high resolution current sensing. LCN Workshops Andreas Reinhardt, Dominic Burkhardt, Manzil Zaheer, Ralf Steinmetz
2012	—	`conf`	Primary side control based inductively coupled powering scheme for biomedical implants. BHI Manzil Zaheer, Jaspreet Singh Suri, Harshal B. Nemade
2011	B	`conf`	SmartMeter.KOM: A low-cost wireless sensor for distributed power metering. LCN Andreas Reinhardt, Dominic Burkhardt, Parag S. Mogre, Manzil Zaheer, Ralf Steinmetz