Jain, Prateek

133 publications

ICLR 2025 Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? Sravanti Addepalli, Yerram Varun, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain

ICLRW 2025 Interleaved Gibbs Diffusion for Constrained Generation Gautham Govind Anil, Sachin Yadav, Dheeraj Mysore Nagaraj, Karthikeyan Shanmugam, Prateek Jain

ICML 2025 Masked Generative Nested Transformers with Decode Time Scaling Sahil Goyal, Debapriya Tula, Gagan Jain, Pradeep Shenoy, Prateek Jain, Sujoy Paul

ICLRW 2025 Masked Generative Nested Transformers with Decode Time Scaling Sahil Goyal, Debapriya Tula, Gagan Jain, Pradeep Shenoy, Prateek Jain, Sujoy Paul

ICML 2025 Matryoshka Quantization Pranav Ajit Nair, Puranjay Datta, Jeff Dean, Prateek Jain, Aditya Kusupati

ICLRW 2025 Matryoshka Quantization Pranav Ajit Nair, Puranjay Datta, Jeff Dean, Prateek Jain, Aditya Kusupati

NeurIPS 2025 Spark Transformer: Reactivating Sparsity in Transformer FFN and Attention Chong You, Kan Wu, Zhipeng Jia, Lin Chen, Srinadh Bhojanapalli, Jiaxian Guo, Utku Evci, Jan Wassenberg, Praneeth Netrapalli, Jeremiah J. Willcock, Suvinay Subramanian, Felix Chern, Alek Andreev, Shreya Pathak, Felix X. Yu, Prateek Jain, David E Culler, Henry Levy, Sanjiv Kumar

NeurIPSW 2024 Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? Sravanti Addepalli, Yerram Varun, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain

ICLR 2024 Dual-Encoders for Extreme Multi-Label Classification Nilesh Gupta, Fnu Devvrit, Ankit Singh Rawat, Srinadh Bhojanapalli, Prateek Jain, Inderjit S Dhillon

TMLR 2024 EHI: End-to-End Learning of Hierarchical Index for Efficient Dense Retrieval Ramnath Kumar, Anshul Mittal, Nilesh Gupta, Aditya Kusupati, Inderjit S Dhillon, Prateek Jain

CVPRW 2024 End-to-End Neural Network Compression via L1/l2 Regularized Latency Surrogates Anshul Nasery, Hardik Shah, Arun Sai Suggala, Prateek Jain

ICLR 2024 LLM Augmented LLMs: Expanding Capabilities Through Composition Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar

ECCV 2024 LookupViT: Compressing Visual Information to a Limited Number of Tokens Rajat Koner, Gagan Jain, Sujoy Paul, Volker Tresp, Prateek Jain

NeurIPS 2024 MatFormer: Nested Transformer for Elastic Inference Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham Kakade, Ali Farhadi, Prateek Jain

NeurIPS 2024 Mixture of Nested Experts: Adaptive Processing of Visual Tokens Gagan Jain, Nidhi Hegde, Aditya Kusupati, Arsha Nagrani, Shyamal Buch, Prateek Jain, Anurag Arnab, Sujoy Paul

AISTATS 2024 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

ICML 2024 Tandem Transformers for Inference Efficient LLMs P S Aishwarya, Pranav Ajit Nair, B L Yashas Samaga, Toby James Boyd, Sanjiv Kumar, Prateek Jain, Praneeth Netrapalli

NeurIPS 2024 Time-Reversal Provides Unsupervised Feedback to LLMs Varun Yerram, Rahul Madhavan, Sravanti Addepalli, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain

NeurIPS 2023 AdANNS: A Framework for Adaptive Semantic Search Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham Kakade, Prateek Jain, Ali Farhadi

NeurIPS 2023 Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints Soumyabrata Pal, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain

ICLR 2023 Feature Reconstruction from Outputs Can Mitigate Simplicity Bias in Neural Networks Sravanti Addepalli, Anshul Nasery, Venkatesh Babu Radhakrishnan, Praneeth Netrapalli, Prateek Jain

NeurIPS 2023 Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Suggala

NeurIPSW 2023 MatFormer: Nested Transformer for Elastic Inference Fnu Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham M. Kakade, Ali Farhadi, Prateek Jain

ICML 2023 Multi-Task Differential Privacy Under Distribution Skew Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Guha Thakurta, Li Zhang

ICML 2023 Multi-User Reinforcement Learning with Low Rank Rewards Dheeraj Mysore Nagaraj, Suhas S Kowshik, Naman Agarwal, Praneeth Netrapalli, Prateek Jain

ICLR 2023 Online Low Rank Matrix Completion Soumyabrata Pal, Prateek Jain

AISTATS 2023 Optimal Algorithms for Latent Bandits with Cluster Structure Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain

NeurIPS 2023 Simplicity Bias in 1-Hidden Layer Neural Networks Depen Morwani, Jatin Batra, Prateek Jain, Praneeth Netrapalli

ICLR 2023 Treeformer: Dense Gradient Trees for Efficient Attention Computation Lovish Madaan, Srinadh Bhojanapalli, Himanshu Jain, Prateek Jain

AISTATS 2022 Robust Training in High Dimensions via Block Coordinate Geometric Median Descent Anish Acharya, Abolfazl Hashemi, Prateek Jain, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu

COLT 2022 (Nearly) Optimal Private Linear Regression for Sub-Gaussian Data via Adaptive Clipping Prateek Varshney, Abhradeep Thakurta, Prateek Jain

ICMLW 2022 DAFT: Distilling Adversarially Fine-Tuned Teachers for OOD Robustness Anshul Nasery, Sravanti Addepalli, Praneeth Netrapalli, Prateek Jain

NeurIPS 2022 DP-PCA: Statistically Optimal and Differentially Private PCA Xiyang Liu, Weihao Kong, Prateek Jain, Sewoong Oh

ICLR 2022 IGLU: Efficient GCN Training via Lazy Updates S Deepak Narayanan, Aditya Sinha, Prateek Jain, Purushottam Kar, Sundararajan Sellamanickam

TMLR 2022 Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent Ajaykrishna Karthikeyan, Naman Jain, Nagarajan Natarajan, Prateek Jain

NeurIPSW 2022 Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks Sravanti Addepalli, Anshul Nasery, Praneeth Netrapalli, Venkatesh Babu Radhakrishnan, Prateek Jain

NeurIPSW 2022 MET: Masked Encoding for Tabular Data Kushal Alpesh Majmundar, Sachin Goyal, Praneeth Netrapalli, Prateek Jain

NeurIPS 2022 Matryoshka Representation Learning Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham Kakade, Prateek Jain, Ali Farhadi

ICLRW 2022 Node-Level Differentially Private Graph Neural Networks Ameya Daigavane, Gagan Madan, Aditya Sinha, Abhradeep Guha Thakurta, Gaurav Aggarwal, Prateek Jain

ICLR 2022 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

NeurIPS 2022 Reproducibility in Optimization: Theoretical Framework and Limits Kwangjun Ahn, Prateek Jain, Ziwei Ji, Satyen Kale, Praneeth Netrapalli, Gil I Shamir

NeurIPS 2022 S3GC: Scalable Self-Supervised Graph Clustering Fnu Devvrit, Aditya Sinha, Inderjit S. Dhillon, Prateek Jain

NeurIPS 2021 Differentially Private Model Personalization Prateek Jain, John Rush, Adam Smith, Shuang Song, Abhradeep Guha Thakurta

NeurIPS 2021 Do Input Gradients Highlight Discriminative Features? Harshay Shah, Prateek Jain, Praneeth Netrapalli

NeurIPS 2021 LLC: Accurate, Multi-Purpose Learnt Low-Dimensional Binary Codes Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham Kakade, Ali Farhadi

NeurIPS 2021 Near-Optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems Suhas Kowshik, Dheeraj Nagaraj, Prateek Jain, Praneeth Netrapalli

ICML 2021 Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain

ICML 2021 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

NeurIPS 2021 Statistically and Computationally Efficient Linear Meta-Representation Learning Kiran K Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh

NeurIPS 2021 Streaming Linear System Identification with Reverse Experience Replay Suhas Kowshik, Dheeraj Nagaraj, Prateek Jain, Praneeth Netrapalli

ICML 2020 DROCC: Deep Robust One-Class Classification Sachin Goyal, Aditi Raghunathan, Moksh Jain, Harsha Vardhan Simhadri, Prateek Jain

NeurIPS 2020 Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms Dheeraj Nagaraj, Xian Wu, Guy Bresler, Prateek Jain, Praneeth Netrapalli

NeurIPSW 2020 Oasis: ILP-Guided Synthesis of Loop Invariants Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain

ICML 2020 Optimization and Analysis of the pAp@k Metric for Recommender Systems Gaurush Hiranandani, Warut Vijitbenjaronk, Sanmi Koyejo, Prateek Jain

NeurIPS 2020 Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method Kiran K Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh

NeurIPS 2020 RNNPool: Efficient Non-Linear Pooling for RAM Constrained Inference Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain

ICML 2020 Soft Threshold Weight Reparameterization for Learnable Sparsity Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham Kakade, Ali Farhadi

NeurIPS 2020 The Pitfalls of Simplicity Bias in Neural Networks Harshay Shah, Kaustav Tamuly, Aditi Raghunathan, Prateek Jain, Praneeth Netrapalli

COLT 2019 Adaptive Hard Thresholding for Near-Optimal Consistent Robust Regression Arun Sai Suggala, Kush Bhatia, Pradeep Ravikumar, Prateek Jain

AISTATS 2019 Cost Aware Inference for IoT Devices Pengkai Zhu, Durmus Alp Emre Acar, Nan Feng, Prateek Jain, Venkatesh Saligrama

AAAI 2019 Distributional Semantics Meets Multi-Label Learning Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai

NeurIPS 2019 Efficient Algorithms for Smooth Minimax Optimization Kiran K Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh

AISTATS 2019 Globally-Convergent Iteratively Reweighted Least Squares for Robust Regression Problems Bhaskar Mukhoty, Govind Gopakumar, Prateek Jain, Purushottam Kar

AISTATS 2019 Learning Natural Programs from a Few Examples in Real-Time Nagarajan Natarajan, Danny Simmons, Naren Datha, Prateek Jain, Sumit Gulwani

COLT 2019 Making the Last Iterate of SGD Information Theoretically Optimal Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli

COLT 2019 Open Problem: Do Good Algorithms Necessarily Query Bad Points? Rong Ge, Prateek Jain, Sham M. Kakade, Rahul Kidambi, Dheeraj M. Nagaraj, Praneeth Netrapalli

NeurIPS 2019 Provable Non-Linear Inductive Matrix Completion Kai Zhong, Zhao Song, Prateek Jain, Inderjit S Dhillon

ICML 2019 SGD Without Replacement: Sharper Rates for General Smooth Convex Functions Dheeraj Nagaraj, Prateek Jain, Praneeth Netrapalli

NeurIPS 2019 Shallow RNN: Accurate Time-Series Classification on Resource Constrained Devices Don Dennis, Durmus Alp Emre Acar, Vikram Mandikal, Vinu Sankar Sadasivan, Venkatesh Saligrama, Harsha Vardhan Simhadri, Prateek Jain

COLT 2018 Accelerating Stochastic Gradient Descent for Least Squares Regression Prateek Jain, Sham M. Kakade, Rahul Kidambi, Praneeth Netrapalli, Aaron Sidford

ICML 2018 Differentially Private Matrix Completion Revisited Prateek Jain, Om Dipakbhai Thakkar, Abhradeep Thakurta

NeurIPS 2018 FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma

NeurIPS 2018 Multiple Instance Learning for Efficient Sequential Data Classification on Resource-Constrained Devices Don Dennis, Chirag Pabbaraju, Harsha Vardhan Simhadri, Prateek Jain

ICLR 2018 Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples Ashwin Kalyan, Abhishek Mohta, Oleksandr Polozov, Dhruv Batra, Prateek Jain, Sumit Gulwani

ICLR 2018 On the Insufficiency of Existing Momentum Schemes for Stochastic Optimization Rahul Kidambi, Praneeth Netrapalli, Prateek Jain, Sham M. Kakade

COLT 2018 Smoothed Analysis for Low-Rank Solutions to Semidefinite Programs in Quadratic Penalty Form Srinadh Bhojanapalli, Nicolas Boumal, Prateek Jain, Praneeth Netrapalli

NeurIPS 2018 Support Recovery for Orthogonal Matching Pursuit: Upper and Lower Bounds Raghav Somani, Chirag Gupta, Prateek Jain, Praneeth Netrapalli

ICML 2017 Active Heteroscedastic Regression Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan

NeurIPS 2017 Consistent Robust Regression Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar

AISTATS 2017 Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot Prateek Jain, Chi Jin, Sham M. Kakade, Praneeth Netrapalli

NeurIPS 2017 Learning Mixture of Gaussians with Streaming Data Aditi Raghunathan, Prateek Jain, Ravishankar Krishnawamy

ICML 2017 Nearly Optimal Robust Matrix Completion Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain

FnTML 2017 Non-Convex Optimization for Machine Learning Prateek Jain, Purushottam Kar

ICML 2017 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

ICML 2017 Recovery Guarantees for One-Hidden-Layer Neural Networks Kai Zhong, Zhao Song, Prateek Jain, Peter L. Bartlett, Inderjit S. Dhillon

AAAI 2017 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

COLT 2017 Thresholding Based Outlier Robust PCA Yeshwanth Cherapanamjeri, Prateek Jain, Praneeth Netrapalli

NeurIPS 2016 Mixed Linear Regression with Multiple Components Kai Zhong, Prateek Jain, Inderjit S Dhillon

NeurIPS 2016 Regret Bounds for Non-Decomposable Metrics with Missing Labels Nagarajan Natarajan, Prateek Jain

NeurIPS 2016 Selective Inference for Group-Sparse Linear Models Fan Yang, Rina Foygel Barber, Prateek Jain, John Lafferty

COLT 2016 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

NeurIPS 2016 Structured Sparse Regression via Greedy Hard Thresholding Prateek Jain, Nikhil Rao, Inderjit S Dhillon

AISTATS 2016 Tensor vs. Matrix Methods: Robust Tensor Decomposition Under Block Sparse Perturbations Anima Anandkumar, Prateek Jain, Yang Shi, U. N. Niranjan

NeurIPS 2015 Alternating Minimization for Regression Problems with Vector-Valued Outputs Prateek Jain, Ambuj Tewari

ALT 2015 Efficient Matrix Sensing Using Rank-1 Gaussian Measurements Kai Zhong, Prateek Jain, Inderjit S. Dhillon

COLT 2015 Fast Exact Matrix Completion with Finite Samples Prateek Jain, Praneeth Netrapalli

ICML 2015 Optimizing Non-Decomposable Performance Measures: A Tale of Two Classes Harikrishna Narasimhan, Purushottam Kar, Prateek Jain

NeurIPS 2015 Predtron: A Family of Online Algorithms for General Prediction Problems Prateek Jain, Nagarajan Natarajan, Ambuj Tewari

NeurIPS 2015 Robust Regression via Hard Thresholding Kush Bhatia, Prateek Jain, Purushottam Kar

NeurIPS 2015 Sparse Local Embeddings for Extreme Multi-Label Classification Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain

ICML 2015 Surrogate Functions for Maximizing Precision at the Top Purushottam Kar, Harikrishna Narasimhan, Prateek Jain

ICML 2014 (Near) Dimension Independent Risk Bounds for Differentially Private Learning Prateek Jain, Abhradeep Guha Thakurta

ICML 2014 Large-Scale Multi-Label Learning with Missing Labels Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit Dhillon

COLT 2014 Learning Mixtures of Discrete Product Distributions Using Spectral Decompositions Prateek Jain, Sewoong Oh

COLT 2014 Learning Sparsely Used Overcomplete Dictionaries Alekh Agarwal, Animashree Anandkumar, Prateek Jain, Praneeth Netrapalli, Rashish Tandon

NeurIPS 2014 Non-Convex Robust PCA Praneeth Netrapalli, U N Niranjan, Sujay Sanghavi, Animashree Anandkumar, Prateek Jain

NeurIPS 2014 On Iterative Hard Thresholding Methods for High-Dimensional M-Estimation Prateek Jain, Ambuj Tewari, Purushottam Kar

NeurIPS 2014 Online and Stochastic Gradient Methods for Non-Decomposable Loss Functions Purushottam Kar, Harikrishna Narasimhan, Prateek Jain

NeurIPS 2014 Provable Submodular Minimization Using Wolfe's Algorithm Deeparnab Chakrabarty, Prateek Jain, Pravesh Kothari

NeurIPS 2014 Provable Tensor Factorization with Missing Data Prateek Jain, Sewoong Oh

ICML 2014 Universal Matrix Completion Srinadh Bhojanapalli, Prateek Jain

ICML 2013 Differentially Private Learning with Kernels Prateek Jain, Abhradeep Thakurta

NeurIPS 2013 Memory Limited, Streaming PCA Ioannis Mitliagkas, Constantine Caramanis, Prateek Jain

ICML 2013 On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions Purushottam Kar, Bharath Sriperumbudur, Prateek Jain, Harish Karnick

ICML 2013 One-Bit Compressed Sensing: Provable Support and Vector Recovery Sivakant Gopi, Praneeth Netrapalli, Prateek Jain, Aditya Nori

NeurIPS 2013 Phase Retrieval Using Alternating Minimization Praneeth Netrapalli, Prateek Jain, Sujay Sanghavi

COLT 2012 Differentially Private Online Learning Prateek Jain, Pravesh Kothari, Abhradeep Thakurta

JMLR 2012 Metric and Kernel Learning Using a Linear Transformation Prateek Jain, Brian Kulis, Jason V. Davis, Inderjit S. Dhillon

NeurIPS 2012 Multilabel Classification Using Bayesian Compressed Sensing Ashish Kapoor, Raajay Viswanathan, Prateek Jain

NeurIPS 2012 Supervised Learning with Similarity Functions Purushottam Kar, Prateek Jain

NeurIPS 2011 Orthogonal Matching Pursuit with Replacement Prateek Jain, Ambuj Tewari, Inderjit S. Dhillon

NeurIPS 2011 Similarity-Based Learning via Data Driven Embeddings Purushottam Kar, Prateek Jain

CVPR 2010 Far-Sighted Active Learning on a Budget for Image and Video Recognition Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman

NeurIPS 2010 Guaranteed Rank Minimization via Singular Value Projection Prateek Jain, Raghu Meka, Inderjit S. Dhillon

NeurIPS 2010 Hashing Hyperplane Queries to near Points with Applications to Large-Scale Active Learning Prateek Jain, Sudheendra Vijayanarasimhan, Kristen Grauman

NeurIPS 2010 Inductive Regularized Learning of Kernel Functions Prateek Jain, Brian Kulis, Inderjit S. Dhillon

CVPR 2009 Active Learning for Large Multi-Class Problems Prateek Jain, Ashish Kapoor

ICML 2009 Geometry-Aware Metric Learning Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon

NeurIPS 2009 Matrix Completion from Power-Law Distributed Samples Raghu Meka, Prateek Jain, Inderjit S. Dhillon

CVPR 2008 Fast Image Search for Learned Metrics Prateek Jain, Brian Kulis, Kristen Grauman

NeurIPS 2008 Online Metric Learning and Fast Similarity Search Prateek Jain, Brian Kulis, Inderjit S. Dhillon, Kristen Grauman

ICML 2008 Rank Minimization via Online Learning Raghu Meka, Prateek Jain, Constantine Caramanis, Inderjit S. Dhillon

ICML 2007 Information-Theoretic Metric Learning Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra, Inderjit S. Dhillon