Articles by Praneeth Netrapalli

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Tandem Transformers for Inference Efficient LLMs

20 October 2024 by Aishwarya S. and others

Artificial Intelligence, Computation and Language

Second Order Methods for Bandit Optimization and Control

3 October 2024 by Arun Suggala and others

Machine Learning

The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks

22 June 2024 by Lénaïc Chizat and Praneeth Netrapalli

Machine Learning

HiRE: High Recall Approximate Top-k Estimation for Efficient LLM Inference

14 February 2024 by Yashas Samaga B. L. and others

Machine Learning, Artificial Intelligence

Near Optimal Heteroscedastic Regression with Symbiotic Learning

1 July 2023 by Dheeraj Baby and others

Machine Learning, Statistics Theory

Multi-User Reinforcement Learning with Low Rank Rewards

22 May 2023 by Naman Agarwal and others

Machine Learning, Optimization and Control

Simplicity Bias in 1-Hidden Layer Neural Networks

1 February 2023 by Depen Morwani and others

Machine Learning, Artificial Intelligence

Optimistic MLE -- A Generic Model-based Algorithm for Partially Observable Sequential Decision Making

14 November 2022 by Qinghua Liu and others

Machine Learning, Artificial Intelligence

Consistent Multiclass Algorithms for Complex Metrics and Constraints

19 October 2022 by Harikrishna Narasimhan and others

Machine Learning

DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization

19 August 2022 by Anshul Nasery and others

Machine Learning

All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP)

17 June 2022 by Ashwin Vaswani and others

Machine Learning, Artificial Intelligence

MET: Masked Encoding for Tabular Data

17 June 2022 by Kushal Majmundar and others

Machine Learning

Reproducibility in Optimization: Theoretical Framework and Limits

26 May 2022 by Kwangjun Ahn and others

Optimization and Control, Machine Learning

Focus on the Common Good: Group Distributional Robustness Follows

20 April 2022 by Vihari Piratla and others

Machine Learning, Computer Vision and Pattern Recognition

Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness

2 December 2021 by Ankit Garg and others

Optimization and Control, Machine Learning

Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs

19 October 2021 by Naman Agarwal and others

Machine Learning, Optimization and Control

Do Input Gradients Highlight Discriminative Features?

20 June 2021 by Harshay Shah and others

Machine Learning, Artificial Intelligence

Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems

4 June 2021 by Prateek Jain and others

Machine Learning, Optimization and Control

Streaming Linear System Identification with Reverse Experience Replay

4 June 2021 by Prateek Jain and others

Machine Learning, Optimization and Control

Minimax Optimization with Smooth Algorithmic Adversaries

2 June 2021 by Tanner Fiez and others

Machine Learning, Computer Science and Game Theory

Sample Efficient Linear Meta-Learning by Alternating Minimization

18 May 2021 by Kiran Koshy Thekumparampil and others

Machine Learning, Artificial Intelligence

The Pitfalls of Simplicity Bias in Neural Networks

28 October 2020 by Harshay Shah and others

Machine Learning, Artificial Intelligence

Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method

5 October 2020 by Kiran Koshy Thekumparampil and others

Optimization and Control, Machine Learning

No quantum speedup over gradient descent for non-smooth convex optimization

5 October 2020 by Ankit Garg and others

Data Structures and Algorithms, Optimization and Control

MOReL : Model-Based Offline Reinforcement Learning

20 July 2020 by Rahul Kidambi and others

Machine Learning, Artificial Intelligence

Learning Minimax Estimators via Online Learning

19 June 2020 by Kartik Gupta and others

Machine Learning, Methodology

Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms

16 June 2020 by Guy Bresler and others

Machine Learning

Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games

13 June 2020 by Arun Sai Suggala and Praneeth Netrapalli

Machine Learning

P-SIF: Document Embeddings Using Partition Averaging

18 May 2020 by Vivek Gupta and others

Computation and Language, Machine Learning

Efficient Domain Generalization via Common-Specific Low-Rank Decomposition

7 April 2020 by Vihari Piratla and others

Machine Learning

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Machine Learning Optimization and Control Artificial Intelligence Data Structures and Algorithms Information Theory Numerical Analysis Statistics Theory Computer Vision and Pattern Recognition Probability Social and Information Networks Computation and Language Quantum Physics Computer Science and Game Theory Methodology Statistical Mechanics