Cutkosky, Ashok

55 publications

ICLR 2025 Descent with Misaligned Gradients and Applications to Hidden Convexity Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit

ICML 2025 General Framework for Online-to-Nonconvex Conversion: Schedule-Free SGD Is Also Effective for Nonconvex Optimization Kwangjun Ahn, Gagik Magakyan, Ashok Cutkosky

ICML 2025 Unconstrained Robust Online Convex Optimization Jiujia Zhang, Ashok Cutkosky

NeurIPS 2024 Adam with Model Exponential Moving Average Is Effective for Nonconvex Optimization Kwangjun Ahn, Ashok Cutkosky

NeurIPS 2024 Fully Unconstrained Online Learning Ashok Cutkosky, Zakaria Mhammedi

ALT 2024 Improving Adaptive Online Learning Using Refined Discretization Zhiyu Zhang, Heng Yang, Ashok Cutkosky, Ioannis C Paschalidis

ICML 2024 Online Linear Regression in Dynamic Environments via Discounting Andrew Jacobsen, Ashok Cutkosky

ICLR 2024 Private Zeroth-Order Nonsmooth Nonconvex Optimization Qinzi Zhang, Hoang Tran, Ashok Cutkosky

ICML 2024 Random Scaling and Momentum for Non-Smooth Non-Convex Optimization Qinzi Zhang, Ashok Cutkosky

NeurIPS 2024 The Road Less Scheduled Aaron Defazio, Xingyu Yang, Harsh Mehta, Konstantin Mishchenko, Ahmed Khaled, Ashok Cutkosky

NeurIPS 2023 Alternation Makes the Adversary Weaker in Two-Player Games Volkan Cevher, Ashok Cutkosky, Ali Kavis, Georgios Piliouras, Stratis Skoulakis, Luca Viano

ICML 2023 Bandit Online Linear Optimization with Hints and Queries Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit

TMLR 2023 Differentially Private Image Classification from Features Harsh Mehta, Walid Krichene, Abhradeep Guha Thakurta, Alexey Kurakin, Ashok Cutkosky

ICLR 2023 Long Range Language Modeling via Gated State Spaces Harsh Mehta, Ankit Gupta, Ashok Cutkosky, Behnam Neyshabur

NeurIPS 2023 Mechanic: A Learning Rate Tuner Ashok Cutkosky, Aaron Defazio, Harsh Mehta

ICML 2023 Optimal Stochastic Non-Smooth Non-Convex Optimization Through Online-to-Non-Convex Conversion Ashok Cutkosky, Harsh Mehta, Francesco Orabona

TMLR 2023 Towards Large Scale Transfer Learning for Differentially Private Image Classification Harsh Mehta, Abhradeep Guha Thakurta, Alexey Kurakin, Ashok Cutkosky

NeurIPS 2023 Unconstrained Dynamic Regret via Sparse Coding Zhiyu Zhang, Ashok Cutkosky, Yannis Paschalidis

ICML 2023 Unconstrained Online Learning with Unbounded Losses Andrew Jacobsen, Ashok Cutkosky

AISTATS 2022 Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory Zhiyu Zhang, Ashok Cutkosky, Ioannis Paschalidis

NeurIPS 2022 Better SGD Using Second-Order Momentum Hoang Tran, Ashok Cutkosky

NeurIPS 2022 Differentially Private Online-to-Batch for Smooth Losses Qinzi Zhang, Hoang Tran, Ashok Cutkosky

ALT 2022 Implicit Parameter-Free Online Learning with Truncated Linear Models Keyi Chen, Ashok Cutkosky, Francesco Orabona

ALT 2022 Leveraging Initial Hints for Free in Stochastic Linear Bandits Ashok Cutkosky, Chris Dann, Abhimanyu Das, Qiuyi Zhang

NeurIPS 2022 Momentum Aggregation for Private Non-Convex ERM Hoang Tran, Ashok Cutkosky

NeurIPS 2022 Optimal Comparator Adaptive Online Learning with Switching Cost Zhiyu Zhang, Ashok Cutkosky, Yannis Paschalidis

ICML 2022 PDE-Based Optimal Strategy for Unconstrained Online Learning Zhiyu Zhang, Ashok Cutkosky, Ioannis Paschalidis

COLT 2022 Parameter-Free Mirror Descent Andrew Jacobsen, Ashok Cutkosky

NeurIPS 2022 Parameter-Free Regret in High Probability with Heavy Tails Jiujia Zhang, Ashok Cutkosky

TMLR 2022 Understanding AdamW Through Proximal Methods and Scale-Freeness Zhenxun Zhuang, Mingrui Liu, Ashok Cutkosky, Francesco Orabona

AISTATS 2021 Power of Hints for Online Learning with Movement Costs Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit

ICML 2021 Dynamic Balancing for Model Selection in Bandits and RL Ashok Cutkosky, Christoph Dann, Abhimanyu Das, Claudio Gentile, Aldo Pacchiano, Manish Purohit

ICLR 2021 Extreme Memorization via Scale of Initialization Harsh Mehta, Ashok Cutkosky, Behnam Neyshabur

NeurIPS 2021 High-Probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails Ashok Cutkosky, Harsh Mehta

NeurIPS 2021 Logarithmic Regret from Sublinear Hints Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit

NeurIPS 2021 Online Selective Classification with Limited Feedback Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama

ICML 2021 Robust Pure Exploration in Linear Bandits with Limited Budget Ayya Alieva, Ashok Cutkosky, Abhimanyu Das

NeurIPS 2020 Better Full-Matrix Regret via Parameter-Free Online Learning Ashok Cutkosky

NeurIPS 2020 Comparator-Adaptive Convex Bandits Dirk van der Hoeven, Ashok Cutkosky, Haipeng Luo

ICML 2020 Momentum Improves Normalized SGD Ashok Cutkosky, Harsh Mehta

ICML 2020 Online Learning with Imperfect Hints Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit

NeurIPS 2020 Online Linear Optimization with Many Hints Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit

ICML 2020 Parameter-Free, Dynamic, and Strongly-Adaptive Online Learning Ashok Cutkosky

ICML 2019 Anytime Online-to-Batch, Optimism and Acceleration Ashok Cutkosky

COLT 2019 Artificial Constraints and Hints for Unbounded Online Learning Ashok Cutkosky

COLT 2019 Combining Online Learning Guarantees Ashok Cutkosky

NeurIPS 2019 Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration Kwang-Sung Jun, Ashok Cutkosky, Francesco Orabona

ICML 2019 Matrix-Free Preconditioning in Online Learning Ashok Cutkosky, Tamas Sarlos

NeurIPS 2019 Momentum-Based Variance Reduction in Non-Convex SGD Ashok Cutkosky, Francesco Orabona

ICML 2019 Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization Zhenxun Zhuang, Ashok Cutkosky, Francesco Orabona

COLT 2018 Black-Box Reductions for Parameter-Free Online Learning in Banach Spaces Ashok Cutkosky, Francesco Orabona

NeurIPS 2018 Distributed Stochastic Optimization via Adaptive SGD Ashok Cutkosky, Róbert Busa-Fekete

COLT 2017 Online Learning Without Prior Information Ashok Cutkosky, Kwabena Boahen

NeurIPS 2017 Stochastic and Adversarial Online Learning Without Hyperparameters Ashok Cutkosky, Kwabena A. Boahen

NeurIPS 2016 Online Convex Optimization with Unconstrained Domains and Losses Ashok Cutkosky, Kwabena A. Boahen