Non-convex optimization for machine learning

von Jain, Prateek
Veröffentlicht 2017

Do Input Gradients Highlight Discriminative Features?

von Shah, Harshay
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 3 of 36 (2022)

THE IMPACT OF FEEDBACK DESIGN ON COGNITIVE EFFORT, USABILITY, AND TECHNOLOGY

von Jain, Prateek
Veröffentlicht in AMCIS (26. : 2020 : Online) A vision for the future ; Volume 3 of 5 (2021)

Designing the Empathetic Research IoT Network (ERIN) Chatbot for Mental Health Resources

von Persons, Brandon
Veröffentlicht in HCIBGO (8. : 2021 : Online) HCI in business, government, and organizations (2021)

OPTIMIZATION AND ANALYSIS OF THE PAPQ)K METRIC FOR RECOMMENDER SYSTEMS

von Hiranandani, Gaurush
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 6 of 15 (2021)

OPTIMAL REGRET ALGORITHM FOR PSEUDO-1D BANDIT CONVEX OPTIMIZATION

von SAHA, AADIRUPA
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 12 of 16 (2022)

DP-PCA: Statistically Optimal and Differentially Private PCA

von Liu, Xiyang
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 39 of 50 (2023)

S3GC: Scalable Self-Supervised Graph Clustering

von Devvrit, Fnu
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 5 of 50 (2023)

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

von Kowshik, Suhas
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 11 of 36 (2022)

Streaming Linear System Identification with Reverse Experience Replay

von Kowshik, Suhas
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 36 of 36 (2022)

PROVABLE NON-LINEAR INDUCTIVE MATRIX COMPLETION

von Zhong, Kai
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 15 of 20 (2020)

PROJECTION EFFICIENT SUBGRADIENT METHOD AND OPTIMAL NONSMOOTH FRANK-WOLFE METHOD

von Thekumparampil, Kiran K.
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 15 of 27 (2021)

EFFICIENT ALGORITHMS FOR SMOOTH MINIMAX OPTIMIZATION

von Thekumparampil, Kiran K.
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 16 of 20 (2020)

Statistically and Computationally Efficient Linear Meta-representation Learning

von Thekumparampil, Kiran K
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 22 of 36 (2022)

Variability of Non-parametric HRF in Interconnectedness and Its Association in Deriving Resting State Network

von Das, Sukesh Kumar
Veröffentlicht in BI (16. : 2023 : Hoboken, NJ) Brain informatics (2023)

LEAST SQUARES REGRESSION WITH MARKOVIAN DATA: FUNDAMENTAL LIMITS AND ALGORITHMS

von Nagaraj, Dheeraj
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 20 of 27 (2021)

THE PITFALLS OF SIMPLICITY BIAS IN NEURAL NETWORKS

von Shah, Harshay
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 12 of 27 (2021)

Differentially Private Model Personalization

von Jain, Prateek
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 35 of 36 (2022)

RNNPOOL: EFFICIENT NON-LINEAR POOLING FOR RAM CONSTRAINED INFERENCE

von Saha, Oindrila
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 25 of 27 (2021)

Reproducibility in Optimization: Theoretical Framework and Limits

von Ahn, Kwangjun
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 24 of 50 (2023)