← Authors

Manzil Zaheer

75 papers · 2015–2025 · 13 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (10) 🌈 Renaissance Researcher (11) 🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (15) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🀝 Dynamic Duo (20) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion πŸš€ Conference Pioneer ⚑ Prolific Year (5) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (286) πŸ“ˆ Trend Setter πŸ’Ž Century Club (75) πŸ”₯ Unstoppable (11)

Conferences

ICML (18) NIPS (12) AISTATS (11) ICLR (10) EMNLP (9) ACL (4) AAAI (3) IJCNLP (2) NAACL (2) COLING (1) CVPR (1) EACL (1) UAI (1)

Top co-authors

Andrew McCallum (20) Nicholas Monath (12) Rajarshi Das (11) Branislav Kveton (10) Amr Ahmed (9) Sanjiv Kumar (9) Joey Hong (8) Ruslan Salakhutdinov (7) Ankit Singh Rawat (7) Ameya Godbole (6)

Research topics

Differential Privacy (1)

Keywords

thompson sampling (7) regret bound (7) question answering (6) representation learning (4) multi-armed bandit (4) federated learning (4) information retrieval (4) case-based reasoning (4) knowledge retrieval (3) knowledge base (3) neural network (3) density estimation (3) cur decomposition (2) off-policy learning (2) nearest neighbor (2) differential privacy (2) nearest neighbor search (2) generative model (2) deep learning (2) hierarchical clustering (2)

Papers

Efficient Distributed Optimization under Heavy-Tailed Noise ICML 2025
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis ICLR 2024
A Statistical Framework for Data-dependent Retrieval-Augmented Models ICML 2024
Functional Interpolation for Relative Positions improves Long Context Transformers ICLR 2024
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders ICLR 2024
A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks ICML 2024
Analysis of Plan-based Retrieval for Grounded Text Generation EMNLP 2024
USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval ICML 2024
Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL 2024
Teacher Guided Training: An Efficient Framework for Knowledge Transfer ICLR 2023
Differentially Private Adaptive Optimization with Delayed Preconditioners ICLR 2023
Longtonotes: OntoNotes with Longer Coreference Chains EACL 2023
Machine Reading Comprehension using Case-based Reasoning EMNLP 2023
Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition EMNLP 2023
A Statistical Perspective on Retrieval-Based Models ICML 2023
ResMem: Learn what you can and memorize the rest NIPS 2023
Large Language Models with Controllable Working Memory ACL 2023
Multi-Task Off-Policy Learning from Bandit Feedback ICML 2023
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining AISTATS 2023
A Context-Integrated Transformer-Based Neural Network for Auction Design ICML 2022
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs ICML 2022
Private Adaptive Optimization with Side information ICML 2022
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models ICML 2022
A Fourier Approach to Mixture Learning NIPS 2022
Learning to Navigate Wikipedia by Taking Random Walks NIPS 2022
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization EMNLP 2022
Hierarchical Bayesian Bandits AISTATS 2022
Deep Hierarchy in Bandits ICML 2022
Robust Training of Neural Networks Using Scale Invariant Architectures ICML 2022
Thompson Sampling with a Mixture Prior AISTATS 2022
Exact and approximate hierarchical clustering using A* UAI 2021
No Regrets for Learning the Prior in Bandits NIPS 2021
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes AAAI 2021
Scaling Within Document Coreference to Long Texts ACL 2021
Non-Stationary Off-Policy Optimization AISTATS 2021
DAG-Structured Clustering by Nearest Neighbors AISTATS 2021
Sketch based Memory for Neural Networks AISTATS 2021
Case-based Reasoning for Natural Language Queries over Knowledge Bases EMNLP 2021
Adaptive Federated Optimization ICLR 2021
Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies ICLR 2021
Latent Programmer: Discrete Latent Codes for Program Synthesis ICML 2021
Meta-Thompson Sampling ICML 2021
Federated Composite Optimization ICML 2021
Scaling Within Document Coreference to Long Texts IJCNLP 2021
Differentiable Open-Ended Commonsense Reasoning NAACL 2021
Differentiable Meta-Learning of Bandit Policies NIPS 2020
Randomized Exploration in Generalized Linear Bandits AISTATS 2020
Exchangeable Generative Models with Flow Scans AAAI 2020
Robust large-margin learning in hyperbolic space NIPS 2020
Big Bird: Transformers for Longer Sequences NIPS 2020
PLLay: Efficient Topological Layer based on Persistent Landscapes NIPS 2020
Latent Bandits Revisited NIPS 2020
Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion EMNLP 2020
Differentiable Reasoning over a Virtual Knowledge Base ICLR 2020
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function AAAI 2019
Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering ICLR 2019
Towards Gradient Free and Projection Free Stochastic Optimization AISTATS 2019
Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference EMNLP 2019
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering EMNLP 2019
Transformation Autoregressive Networks ICML 2018
Nonparametric Density Estimation under Adversarial Losses NIPS 2018
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text EMNLP 2018
Adaptive Methods for Nonconvex Optimization NIPS 2018
Compressed Video Action Recognition CVPR 2018
Investigating the Working of Text Classifiers COLING 2018
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning ICLR 2018
A Generic Approach for Escaping Saddle points AISTATS 2018
Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data ICML 2017
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks ACL 2017
Deep Sets NIPS 2017
Canopy Fast Sampling with Cover Trees ICML 2017
Exponential Stochastic Cellular Automata for Massively Parallel Inference AISTATS 2016
Preferential Attachment in Graphs with Affinities AISTATS 2015
Gaussian LDA for Topic Models with Word Embeddings IJCNLP 2015
Gaussian LDA for Topic Models with Word Embeddings ACL 2015