Prateek Jain
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
90
Venues
29
Active years
2004–2025
Best venue rank
A*
Where they publish
- A*ICML27 papers
- A*COLT11 papers
- A*ICLR10 papers
- AAISTATS8 papers
- A*CVPR4 papers
- NationalHCI4 papers
- A*AAAI2 papers
- A*VLDB2 papers
- A*WWW2 papers
- BIJCNLP1 paper
- A*KDD1 paper
- A*SIGMETRICS1 paper
- A*ECCV1 paper
- CIIWAS1 paper
- ACIKM1 paper
- BIJCNN1 paper
- BLREC1 paper
- CDATA1 paper
- A*UIST1 paper
- NationalITA1 paper
- BAPLAS1 paper
- A*ICRA1 paper
- A*PERCOM1 paper
- BALT1 paper
- A*SODA1 paper
- A*STOC1 paper
- ASDM1 paper
- CAPSEC1 paper
- BSIGdial1 paper
Papers
90 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? | Sravanti Addepalli, Yerram Varun, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain |
| 2025 | ICML | Masked Generative Nested Transformers with Decode Time Scaling. | Sahil Goyal, Debapriya Tula, Gagan Jain, Pradeep Shenoy, Prateek Jain, Sujoy Paul |
| 2025 | ICML | Matryoshka Quantization. | Pranav Ajit Nair, Puranjay Datta, Jeff Dean, Prateek Jain, Aditya Kusupati |
| 2025 | IJCNLP | One-Pass to Reason: Token Duplication and Block-Sparse Mask for Efficient Fine-Tuning on Multi-Turn Reasoning. | Ritesh Goru, Shanay Mehta, Prateek Jain |
| 2025 | KDD | Matryoshka Model Learning for Improved Elastic Student Models. | Chetan Verma, Aditya Srinivas Timmaraju, Cho-Jui Hsieh, Suyash Damle, Ngot Bui, Yang Zhang, Wen Chen, Xin Liu, Prateek Jain, Inderjit S. Dhillon |
| 2025 | SIGMETRICS | Design and Modeling of a New File Transfer Architecture to Reduce Undetected Errors Evaluated in the FABRIC Testbed. | Prateek Jain, Arash Sarabi, Abraham Matta, Violet R. Syrotiuk |
| 2024 | AISTATS | Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components. | Soumyabrata Pal, Prateek Varshney, Gagan Madan, Prateek Jain, Abhradeep Thakurta, Gaurav Aggarwal, Pradeep Shenoy, Gaurav Srivastava |
| 2024 | CVPR | End-to-End Neural Network Compression via l1/l2 Regularized Latency Surrogates. | Anshul Nasery, Hardik Shah, Arun Sai Suggala, Prateek Jain |
| 2024 | ECCV | LookupViT: Compressing Visual Information to a Limited Number of Tokens. | Rajat Koner, Gagan Jain, Prateek Jain, Volker Tresp, Sujoy Paul |
| 2024 | ICLR | LLM Augmented LLMs: Expanding Capabilities through Composition. | Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar |
| 2024 | ICLR | Dual-Encoders for Extreme Multi-label Classification. | Nilesh Gupta, Devvrit, Ankit Singh Rawat, Srinadh Bhojanapalli, Prateek Jain, Inderjit S. Dhillon |
| 2024 | ICML | Tandem Transformers for Inference Efficient LLMs. | Aishwarya P. S., Pranav Ajit Nair, Yashas Samaga, Toby Boyd, Sanjiv Kumar, Prateek Jain, Praneeth Netrapalli |
| 2024 | IIWAS | Combining GraphSAGE and Label Propagation for Node Classification in Graphs. | Dolly Sharma, Sonia Khetarpaul, Chinmayi Verma, Prateek Jain |
| 2023 | AISTATS | Optimal Algorithms for Latent Bandits with Cluster Structure. | Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain |
| 2023 | ICLR | Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks. | Sravanti Addepalli, Anshul Nasery, Venkatesh Babu Radhakrishnan, Praneeth Netrapalli, Prateek Jain |
| 2023 | ICLR | Treeformer: Dense Gradient Trees for Efficient Attention Computation. | Lovish Madaan, Srinadh Bhojanapalli, Himanshu Jain, Prateek Jain |
| 2023 | ICLR | Online Low Rank Matrix Completion. | Soumyabrata Pal, Prateek Jain |
| 2023 | ICML | Multi-Task Differential Privacy Under Distribution Skew. | Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Guha Thakurta, Li Zhang |
| 2023 | ICML | Multi-User Reinforcement Learning with Low Rank Rewards. | Dheeraj Mysore Nagaraj, Suhas S. Kowshik, Naman Agarwal, Praneeth Netrapalli, Prateek Jain |
| 2022 | AISTATS | Robust Training in High Dimensions via Block Coordinate Geometric Median Descent. | Anish Acharya, Abolfazl Hashemi, Prateek Jain, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu |
| 2022 | CIKM | Domain-Agnostic Contrastive Representations for Learning from Label Proportions. | Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer |
| 2022 | COLT | (Nearly) Optimal Private Linear Regression for Sub-Gaussian Data via Adaptive Clipping. | Prateek Varshney, Abhradeep Thakurta, Prateek Jain |
| 2022 | ICLR | Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs. | Naman Agarwal, Syomantak Chaudhuri, Prateek Jain, Dheeraj Mysore Nagaraj, Praneeth Netrapalli |
| 2022 | ICLR | IGLU: Efficient GCN Training via Lazy Updates. | S. Deepak Narayanan, Aditya Sinha, Prateek Jain, Purushottam Kar, Sundararajan Sellamanickam |
| 2022 | IJCNN | Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm. | Raghuram Bharadwaj Diddigi, Prateek Jain, Prabuchandran K. J., Shalabh Bhatnagar |
| 2021 | HCI | Designing the Empathetic Research IoT Network (ERIN) Chatbot for Mental Health Resources. | Brandon Persons, Prateek Jain, Christopher J. Chagnon, Soussan Djamasbi |
| 2021 | ICML | Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates. | Steve Chien, Prateek Jain, Walid Krichene, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang |
| 2021 | ICML | Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization. | Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain |
| 2020 | ICML | DROCC: Deep Robust One-Class Classification. | Sachin Goyal, Aditi Raghunathan, Moksh Jain, Harsha Vardhan Simhadri, Prateek Jain |
| 2020 | ICML | Optimization and Analysis of the pAp@k Metric for Recommender Systems. | Gaurush Hiranandani, Warut Vijitbenjaronk, Sanmi Koyejo, Prateek Jain |
| 2020 | ICML | Soft Threshold Weight Reparameterization for Learnable Sparsity. | Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham M. Kakade, Ali Farhadi |
| 2020 | LREC | A Topic-Aligned Multilingual Corpus of Wikipedia Articles for Studying Information Asymmetry in Low Resource Languages. | Dwaipayan Roy, Sumit Bhatia, Prateek Jain |
| 2019 | AAAI | Distributional Semantics Meets Multi-Label Learning. | Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai |
| 2019 | AISTATS | Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems. | Bhaskar Mukhoty, Govind Gopakumar, Prateek Jain, Purushottam Kar |
| 2019 | AISTATS | Learning Natural Programs from a Few Examples in Real-Time. | Nagarajan Natarajan, Danny Simmons, Naren Datha, Prateek Jain, Sumit Gulwani |
| 2019 | AISTATS | Cost aware Inference for IoT Devices. | Pengkai Zhu, Durmus Alp Emre Acar, Nan Feng, Prateek Jain, Venkatesh Saligrama |
| 2019 | COLT | Open Problem: Do Good Algorithms Necessarily Query Bad Points? | Rong Ge, Prateek Jain, Sham M. Kakade, Rahul Kidambi, Dheeraj M. Nagaraj, Praneeth Netrapalli |
| 2019 | COLT | Making the Last Iterate of SGD Information Theoretically Optimal. | Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli |
| 2019 | COLT | Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression. | Arun Sai Suggala, Kush Bhatia, Pradeep Ravikumar, Prateek Jain |
| 2019 | DATA | Comparative Analysis of Store Clustering Techniques in the Retail Industry. | Kanika Agarwal, Prateek Jain, Mamta A. Rajnayak |
| 2019 | HCI | Transforming User Experience of Nutrition Facts Label - An Exploratory Service Innovation Study. | Prateek Jain, Soussan Djamasbi |
| 2019 | HCI | Creating Value with Proto-Research Persona Development. | Prateek Jain, Soussan Djamasbi, John Wyatt |
| 2019 | ICML | SGD without Replacement: Sharper Rates for General Smooth Convex Functions. | Dheeraj Nagaraj, Prateek Jain, Praneeth Netrapalli |
| 2019 | UIST | GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users. | Shishir G. Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Vardhan Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain |
| 2018 | COLT | Accelerating Stochastic Gradient Descent for Least Squares Regression. | Prateek Jain, Sham M. Kakade, Rahul Kidambi, Praneeth Netrapalli, Aaron Sidford |
| 2018 | COLT | Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form. | Srinadh Bhojanapalli, Nicolas Boumal, Prateek Jain, Praneeth Netrapalli |
| 2018 | HCI | Effect of Social Media Product Reviews on Buying Decision When Presented in Augmented Reality. | Prateek Jain, Adrienne Hall Phillips, Soussan Djamasbi |
| 2018 | ICLR | Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples. | Ashwin Kalyan, Abhishek Mohta, Oleksandr Polozov, Dhruv Batra, Prateek Jain, Sumit Gulwani |
| 2018 | ICLR | On the insufficiency of existing momentum schemes for Stochastic Optimization. | Rahul Kidambi, Praneeth Netrapalli, Prateek Jain, Sham M. Kakade |
| 2018 | ICML | Differentially Private Matrix Completion Revisited. | Prateek Jain, Om Dipakbhai Thakkar, Abhradeep Thakurta |
| 2018 | ITA | On the Insufficiency of Existing Momentum Schemes for Stochastic Optimization. | Rahul Kidambi, Praneeth Netrapalli, Prateek Jain, Sham M. Kakade |
| 2017 | AAAI | Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning. | Apoorv Aggarwal, Sandip Ghoshal, Ankith M. S. Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain |
| 2017 | AISTATS | Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot. | Prateek Jain, Chi Jin, Sham M. Kakade, Praneeth Netrapalli |
| 2017 | APLAS | Programming by Examples: PL Meets ML. | Sumit Gulwani, Prateek Jain |
| 2017 | COLT | Thresholding Based Outlier Robust PCA. | Yeshwanth Cherapanamjeri, Prateek Jain, Praneeth Netrapalli |
| 2017 | ICML | Active Heteroscedastic Regression. | Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan |
| 2017 | ICML | Nearly Optimal Robust Matrix Completion. | Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain |
| 2017 | ICML | ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices. | Chirag Gupta, Arun Sai Suggala, Ankit Goyal, Harsha Vardhan Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain |
| 2017 | ICML | Recovery Guarantees for One-hidden-layer Neural Networks. | Kai Zhong, Zhao Song, Prateek Jain, Peter L. Bartlett, Inderjit S. Dhillon |
| 2017 | ICRA | Fast second-order cone programming for safe mission planning. | Kai Zhong, Prateek Jain, Ashish Kapoor |
| 2017 | VLDB | Healthsurance - Mobile App for Standardized Electronic Health Records Database. | Prateek Jain, Sagar Bhargava, Naman Jain, Shelly Sachdeva, Shivani Batra, Subhash Bhalla |
| 2016 | AISTATS | Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations. | Anima Anandkumar, Prateek Jain, Yang Shi, U. N. Niranjan |
| 2016 | COLT | Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja's Algorithm. | Prateek Jain, Chi Jin, Sham M. Kakade, Praneeth Netrapalli, Aaron Sidford |
| 2016 | PERCOM | uBeacon: Configuration based Beacon tracking. | Prateek Jain, Sanket Subhash Khanwalkar, Rohit Malhotra, Ajey Dheenrajappa, Gaurav Gupta, Alfred Kobsa |
| 2015 | ALT | Efficient Matrix Sensing Using Rank-1 Gaussian Measurements. | Kai Zhong, Prateek Jain, Inderjit S. Dhillon |
| 2015 | COLT | Fast Exact Matrix Completion with Finite Samples. | Prateek Jain, Praneeth Netrapalli |
| 2015 | ICML | Surrogate Functions for Maximizing Precision at the Top. | Purushottam Kar, Harikrishna Narasimhan, Prateek Jain |
| 2015 | ICML | Optimizing Non-decomposable Performance Measures: A Tale of Two Classes. | Harikrishna Narasimhan, Purushottam Kar, Prateek Jain |
| 2015 | SODA | Tighter Low-rank Approximation via Sampling the Leveraged Element. | Srinadh Bhojanapalli, Prateek Jain, Sujay Sanghavi |
| 2014 | COLT | Learning Mixtures of Discrete Product Distributions using Spectral Decompositions. | Prateek Jain, Sewoong Oh |
| 2014 | COLT | Learning Sparsely Used Overcomplete Dictionaries. | Alekh Agarwal, Animashree Anandkumar, Prateek Jain, Praneeth Netrapalli, Rashish Tandon |
| 2014 | ICML | (Near) Dimension Independent Risk Bounds for Differentially Private Learning. | Prateek Jain, Abhradeep Guha Thakurta |
| 2014 | ICML | Universal Matrix Completion. | Srinadh Bhojanapalli, Prateek Jain |
| 2014 | ICML | Large-scale Multi-label Learning with Missing Labels. | Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit S. Dhillon |
| 2014 | WWW | Hierarchical interest graph from tweets. | Pavan Kapanipathi, Prateek Jain, Chitra Venkatramani, Amit P. Sheth |
| 2013 | ICML | Differentially Private Learning with Kernels. | Prateek Jain, Abhradeep Thakurta |
| 2013 | ICML | One-Bit Compressed Sensing: Provable Support and Vector Recovery. | Sivakanth Gopi, Praneeth Netrapalli, Prateek Jain, Aditya V. Nori |
| 2013 | ICML | On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions. | Purushottam Kar, Bharath K. Sriperumbudur, Prateek Jain, Harish Karnick |
| 2013 | WWW | Ad impression forecasting for sponsored search. | Abhirup Nath, Shibnath Mukherjee, Prateek Jain, Navin Goyal, Srivatsan Laxman |
| 2013 | STOC | Low-rank matrix completion using alternating minimization. | Prateek Jain, Praneeth Netrapalli, Sujay Sanghavi |
| 2010 | CVPR | Far-sighted active learning on a budget for image and video recognition. | Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman |
| 2009 | CVPR | Active learning for large multi-class problems. | Prateek Jain, Ashish Kapoor |
| 2009 | ICML | Geometry-aware metric learning. | Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon |
| 2008 | CVPR | Fast image search for learned metrics. | Prateek Jain, Brian Kulis, Kristen Grauman |
| 2008 | ICML | Rank minimization via online learning. | Raghu Meka, Prateek Jain, Constantine Caramanis, Inderjit S. Dhillon |
| 2008 | SDM | Simultaneous Unsupervised Learning of Disparate Clusterings. | Prateek Jain, Raghu Meka, Inderjit S. Dhillon |
| 2007 | ICML | Information-theoretic metric learning. | Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra, Inderjit S. Dhillon |
| 2006 | APSEC | Integrating Stateful Services in Workflow. | Zakir Laliwala, Vikram Sorathia, Sanjay Chaudhary, Prateek Jain |
| 2005 | VLDB | Personalizing XML Text Search in PimenT. | Sihem Amer-Yahia, Irini Fundulaki, Prateek Jain, Laks V. S. Lakshmanan |
| 2004 | SIGdial | Anaphora Resolution in Multi-Person Dialogues. | Prateek Jain, Manav Ratan Mital, Sumit Kumar, Amitabha Mukerjee, Achla M. Raina |