Naman Agarwal

Abhradeep Guha Thakurta

Proceedings of the Forty-first International Conference on Machine Learning, 2024

GenGradAttack: Efficient and Robust Targeted Adversarial Attacks Using Genetic Algorithms and Gradient-Based Fine-Tuning.

[BibT_eX]

[DOI]

James Pope

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

Improved Differentially Private and Lazy Online Convex Optimization.

[BibT_eX]

[DOI]

Abhradeep Guha Thakurta

CoRR, 2023

Spectral State Space Models.

[BibT_eX]

[DOI]

CoRR, 2023

Benchmarking Neural Network Training Algorithms.

[BibT_eX]

[DOI]

CoRR, 2023

HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Best of Both Worlds in Online Control: Competitive Ratio and Policy Regret.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2023

Alternative Approach to Integrate GNSS Doppler in Kalman Filter for Smartphone Positioning.

[BibT_eX]

[DOI]

Kyle O'Keefe

Richard Klukas

Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023

Multi-User Reinforcement Learning with Low Rank Rewards.

[BibT_eX]

[DOI]

Dheeraj Mysore Nagaraj

Proceedings of the International Conference on Machine Learning, 2023

Differentially Private and Lazy Online Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Variance-Reduced Conservative Policy Iteration.

[BibT_eX]

[DOI]

Brian Bullins

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022

Adaptive Gradient Methods at the Edge of Stability.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Syomantak Chaudhuri

Prateek Jain

Dheeraj Mysore Nagaraj

Praneeth Netrapalli

Proceedings of the Tenth International Conference on Learning Representations, 2022

Pushing the Efficiency-Regret Pareto Frontier for Online Learning of Portfolios and Quantum States.

[BibT_eX]

[DOI]

Julian Zimmert

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Efficient Methods for Online Multiclass Logistic Regression.

[BibT_eX]

[DOI]

Julian Zimmert

Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

2021

Adaptive regularization with cubics on manifolds.

[BibT_eX]

[DOI]

Math. Program., 2021

Machine Learning for Mechanical Ventilation Control (Extended Abstract).

[BibT_eX]

[DOI]

CoRR, 2021

Deluca - A Differentiable Control Library: Environments, Methods, and Benchmarking.

[BibT_eX]

[DOI]

CoRR, 2021

Machine Learning for Mechanical Ventilation Control.

[BibT_eX]

[DOI]

CoRR, 2021

The Skellam Mechanism for Differentially Private Federated Learning.

[BibT_eX]

[DOI]

Peter Kairouz

Ziyu Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Regret Minimization Approach to Iterative Learning Control.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Acceleration via Fractal Learning Rate Schedules.

[BibT_eX]

[DOI]

Surbhi Goel

Cyril Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

A Deep Conditioning Treatment of Neural Networks.

[BibT_eX]

[DOI]

Pranjal Awasthi

Proceedings of the Algorithmic Learning Theory, 2021

2020

Automated detection of Glaucoma using deep learning convolution network (G-net).

[BibT_eX]

[DOI]

Multim. Tools Appl., 2020

Disentangling Adaptive Gradient Methods from Learning Rates.

[BibT_eX]

[DOI]

CoRR, 2020

Stochastic Optimization with Laggard Data Pipelines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Boosting for Control of Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Extreme Tensoring for Low-Memory Preconditioning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Leverage Score Sampling for Faster Accelerated Regression and ERM.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 2020

2019

On the Expansion of Group-Based Lifts.

[BibT_eX]

[DOI]

Karthekeyan Chandrasekaran

Alexandra Kolla

Vivek Madan

SIAM J. Discret. Math., 2019

Boosting for Dynamical Systems.

[BibT_eX]

[DOI]

CoRR, 2019

Design and Development of Underwater Vehicle: ANAHITA.

[BibT_eX]

[DOI]

CoRR, 2019

Logarithmic Regret for Online Control.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Online Control with Adversarial Disturbances.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Efficient Full-Matrix Adaptive Regularization.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning in Non-convex Games with an Optimization Oracle.

[BibT_eX]

[DOI]

Alon Gonen

Proceedings of the Conference on Learning Theory, 2019

2018

Second-Order Optimization Methods for Machine Learning

[BibT_eX]

[DOI]

PhD thesis, 2018

The Case for Full-Matrix Adaptive Regularization.

[BibT_eX]

[DOI]

CoRR, 2018

Effective Dimension of Exp-concave Optimization.

[BibT_eX]

[DOI]

Alon Gonen

CoRR, 2018

cpSGD: Communication-efficient and differentially-private distributed SGD.

[BibT_eX]

[DOI]

Ananda Theertha Suresh

Felix X. Yu

Sanjiv Kumar

Brendan McMahan

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Lower Bounds for Higher-Order Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the Conference On Learning Theory, 2018

2017

Second-Order Stochastic Optimization for Machine Learning in Linear Time.

[BibT_eX]

[DOI]

Brian Bullins

J. Mach. Learn. Res., 2017

Finding approximate local minima faster than gradient descent.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, 2017

The Price of Differential Privacy for Online Learning.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Finding Approximate Local Minima for Nonconvex Optimization in Linear Time.

[BibT_eX]

[DOI]

CoRR, 2016

Second Order Stochastic Optimization in Linear Time.

[BibT_eX]

[DOI]

Brian Bullins

CoRR, 2016

2015

Multisection in the Stochastic Block Model using Semidefinite Programming.

[BibT_eX]

[DOI]

Afonso S. Bandeira

Konstantinos Koiliaris

Alexandra Kolla

CoRR, 2015

Unique Games on the Hypercube.

[BibT_eX]

[DOI]

Chic. J. Theor. Comput. Sci., 2015

2013

Small Lifts of Expander Graphs are Expanding.

[BibT_eX]

[DOI]