Zaheer, Manzil

67 publications

NeurIPS 2025 Efficient Adaptive Federated Optimization Su Hyeong Lee, Sidharth Sharma, Manzil Zaheer, Tian Li

ICML 2025 Efficient Distributed Optimization Under Heavy-Tailed Noise Su Hyeong Lee, Manzil Zaheer, Tian Li

ICLRW 2025 Efficient Distributed Optimization Under Heavy-Tailed Noise Su Hyeong Lee, Manzil Zaheer, Tian Li

NeurIPS 2025 Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration Ahmed Khaled, Satyen Kale, Arthur Douillard, Chi Jin, Rob Fergus, Manzil Zaheer

ICML 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

ICML 2024 A Statistical Framework for Data-Dependent Retrieval-Augmented Models Soumya Basu, Ankit Singh Rawat, Manzil Zaheer

ICLR 2024 Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum

ICMLW 2024 Efficient Adaptive Federated Optimization Su Hyeong Lee, Sidharth Sharma, Manzil Zaheer, Tian Li

ICLR 2024 ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton

ICLR 2024 Functional Interpolation for Relative Positions Improves Long Context Transformers Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontanon, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli

TMLR 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

ICLRW 2024 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 Yu, Sanjiv Kumar

ICML 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

ICML 2023 A Statistical Perspective on Retrieval-Based Models Soumya Basu, Ankit Singh Rawat, Manzil Zaheer

ICMLW 2023 Can Public Large Language Models Help Private Cross-Device Federated Learning? Boxin Wang, Yibo Jacky Zhang, Yuan Cao, Bo Li, Hugh Brendan McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer

ICMLW 2023 Can Public Large Language Models Help Private Cross-Device Federated Learning? Boxin Wang, Yibo Jacky Zhang, Yuan Cao, Bo Li, Hugh Brendan McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer

ICLR 2023 Differentially Private Adaptive Optimization with Delayed Preconditioners Tian Li, Manzil Zaheer, Ken Liu, Sashank J. Reddi, Hugh Brendan McMahan, Virginia Smith

AISTATS 2023 Improving Dual-Encoder Training Through Dynamic Indexes for Negative Mining Nicholas Monath, Manzil Zaheer, Kelsey Allen, Andrew Mccallum

ICML 2023 Multi-Task Off-Policy Learning from Bandit Feedback Joey Hong, Branislav Kveton, Manzil Zaheer, Sumeet Katariya, Mohammad Ghavamzadeh

NeurIPS 2023 ResMem: Learn What You Can and Memorize the REST Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Rawat, Manzil Zaheer, Aditya K Menon, Sanjiv Kumar

ICLR 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

AISTATS 2022 Hierarchical Bayesian Bandits Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh

AISTATS 2022 Thompson Sampling with a Mixture Prior Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier

ICML 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

NeurIPS 2022 A Fourier Approach to Mixture Learning Mingda Qiao, Guru Guruganesh, Ankit Rawat, Kumar Avinava Dubey, Manzil Zaheer

ICLRW 2022 Compositional Generalization and Decomposition in Neural Program Synthesis Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton

ICML 2022 Deep Hierarchy in Bandits Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh

NeurIPSW 2022 Differentially Private Adaptive Optimization with Delayed Preconditioners Tian Li, Manzil Zaheer, Ken Liu, Sashank J. Reddi, Hugh Brendan McMahan, Virginia Smith

ICML 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

NeurIPS 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

ICML 2022 Private Adaptive Optimization with Side Information Tian Li, Manzil Zaheer, Sashank Reddi, Virginia Smith

ICML 2022 Robust Training of Neural Networks Using Scale Invariant Architectures Zhiyuan Li, Srinadh Bhojanapalli, Manzil Zaheer, Sashank Reddi, Sanjiv Kumar

ICML 2022 StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models Adam Liska, Tomas Kocisky, 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

AISTATS 2021 DAG-Structured Clustering by Nearest Neighbors Nicholas Monath, Manzil Zaheer, Kumar Avinava Dubey, Amr Ahmed, Andrew McCallum

AISTATS 2021 Non-Stationary Off-Policy Optimization Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed

AISTATS 2021 Sketch Based Memory for Neural Networks Rina Panigrahy, Xin Wang, Manzil Zaheer

ICLR 2021 Adaptive Federated Optimization Sashank J. Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konečný, Sanjiv Kumar, Hugh Brendan McMahan

ICLR 2021 Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed

UAI 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

ICML 2021 Federated Composite Optimization Honglin Yuan, Manzil Zaheer, Sashank Reddi

ICML 2021 Latent Programmer: Discrete Latent Codes for Program Synthesis Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer

ICML 2021 Meta-Thompson Sampling Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvari

NeurIPS 2021 No Regrets for Learning the Prior in Bandits Soumya Basu, Branislav Kveton, Manzil Zaheer, Csaba Szepesvari

AAAI 2021 Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed

NeurIPS 2020 Big Bird: Transformers for Longer Sequences Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed

NeurIPS 2020 Differentiable Meta-Learning of Bandit Policies Craig Boutilier, Chih-wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvari, Manzil Zaheer

ICLR 2020 Differentiable Reasoning over a Virtual Knowledge Base Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen

AAAI 2020 Exchangeable Generative Models with Flow Scans Christopher M. Bender, Kevin O'Connor, Yang Li, Juan Jose Garcia, Junier Oliva, Manzil Zaheer

NeurIPS 2020 Latent Bandits Revisited Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier

NeurIPS 2020 PLLay: Efficient Topological Layer Based on Persistent Landscapes Kwangho Kim, Jisu Kim, Manzil Zaheer, Joon Kim, Frederic Chazal, Larry Wasserman

AISTATS 2020 Randomized Exploration in Generalized Linear Bandits Branislav Kveton, Manzil Zaheer, Csaba Szepesvari, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier

NeurIPS 2020 Robust Large-Margin Learning in Hyperbolic Space Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya K Menon, Sanjiv Kumar

ICMLW 2019 Federated Optimization for Heterogeneous Networks Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith

ICLR 2019 Multi-Step Retriever-Reader Interaction for Scalable Open-Domain Question Answering Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum

ICLRW 2019 Point Cloud GAN Chun-Liang Li, Manzil Zaheer, Yang Zhang, Barnabás Póczos, Ruslan Salakhutdinov

AAAI 2019 Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov

AISTATS 2019 Towards Gradient Free and Projection Free Stochastic Optimization Anit Kumar Sahu, Manzil Zaheer, Soummya Kar

AISTATS 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

NeurIPS 2018 Adaptive Methods for Nonconvex Optimization Manzil Zaheer, Sashank Reddi, Devendra Sachan, Satyen Kale, Sanjiv Kumar

ICLR 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

NeurIPS 2018 Nonparametric Density Estimation Under Adversarial Losses Shashank Singh, Ananya Uppal, Boyue Li, Chun-Liang Li, Manzil Zaheer, Barnabas Poczos

ICML 2018 Transformation Autoregressive Networks Junier Oliva, Avinava Dubey, Manzil Zaheer, Barnabas Poczos, Ruslan Salakhutdinov, Eric Xing, Jeff Schneider

ICML 2017 Canopy Fast Sampling with Cover Trees Manzil Zaheer, Satwik Kottur, Amr Ahmed, José Moura, Alex Smola

NeurIPS 2017 Deep Sets Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh, Barnabas Poczos, Ruslan Salakhutdinov, Alexander J Smola

ICML 2017 Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data Manzil Zaheer, Amr Ahmed, Alexander J. Smola

AISTATS 2016 Exponential Stochastic Cellular Automata for Massively Parallel Inference Manzil Zaheer, Michael L. Wick, Jean-Baptiste Tristan, Alexander J. Smola, Guy L. Steele Jr.

AISTATS 2015 Preferential Attachment in Graphs with Affinities Jay Lee, Manzil Zaheer, Stephan Günnemann, Alexander J. Smola