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Publication search results
found 117 matches
- 2023
- Rachelle Kristof Hippler, Samuel D. Jaffee, Laura Marie Leventhal, Nathan Ward:
Building Student Excitement: Teaching Through User Experience Opportunities. SIGCSE (2) 2023: 1243 - 2022
- Maira Alvi
, Tim French
, Rachel Cardell-Oliver
, Philip Keymer
, Andrew Ward
:
Cost Effective Soft Sensing for Wastewater Treatment Facilities. IEEE Access 10: 55694-55708 (2022) - De Huang, Jonathan Niles-Weed, Joel A. Tropp, Rachel Ward:
Matrix Concentration for Products. Found. Comput. Math. 22(6): 1767-1799 (2022) - Xiaoxia Wu, Yuege Xie, Simon Shaolei Du, Rachel Ward:
AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method. AAAI 2022: 8691-8699 - Itay Evron, Edward Moroshko, Rachel Ward, Nathan Srebro, Daniel Soudry:
How catastrophic can catastrophic forgetting be in linear regression? COLT 2022: 4028-4079 - Matthew Faw, Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari, Sanjay Shakkottai, Rachel Ward:
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. COLT 2022: 313-355 - Abhinav Nellore, Rachel Ward:
Arbitrary-Length Analogs to de Bruijn Sequences. CPM 2022: 9:1-9:20 - Matthew Faw, Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari, Sanjay Shakkottai, Rachel Ward:
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. CoRR abs/2202.05791 (2022) - Shuo Yang, Yijun Dong, Rachel Ward, Inderjit S. Dhillon, Sujay Sanghavi, Qi Lei:
Sample Efficiency of Data Augmentation Consistency Regularization. CoRR abs/2202.12230 (2022) - Juncai He, Richard Tsai, Rachel Ward:
Side-effects of Learning from Low Dimensional Data Embedded in an Euclidean Space. CoRR abs/2203.00614 (2022) - Zhijun Chen, Hayden Schaeffer, Rachel Ward:
Concentration of Random Feature Matrices in High-Dimensions. CoRR abs/2204.06935 (2022) - Ruhui Jin, Joe Kileel, Tamara G. Kolda, Rachel Ward:
Scalable symmetric Tucker tensor decomposition. CoRR abs/2204.10824 (2022) - Nhat Ho, Tongzheng Ren, Sujay Sanghavi, Purnamrita Sarkar, Rachel Ward:
An Exponentially Increasing Step-size for Parameter Estimation in Statistical Models. CoRR abs/2205.07999 (2022) - Itay Evron, Edward Moroshko, Rachel Ward, Nati Srebro, Daniel Soudry:
How catastrophic can catastrophic forgetting be in linear regression? CoRR abs/2205.09588 (2022) - Raghu Bollapragada, Tyler Chen, Rachel Ward:
On the fast convergence of minibatch heavy ball momentum. CoRR abs/2206.07553 (2022) - Yijun Dong, Yuege Xie, Rachel Ward:
AdaWAC: Adaptively Weighted Augmentation Consistency Regularization for Volumetric Medical Image Segmentation. CoRR abs/2210.01891 (2022) - 2021
- Rida T. Farouki, Jack R. Swett, Rachel Ward Rohlen, David B. Smith:
Real-time needle guidance for venipuncture based on optical coherence tomography. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(6): 643-650 (2021) - De Huang, Jonathan Niles-Weed, Rachel Ward:
Streaming k-PCA: Efficient guarantees for Oja's algorithm, beyond rank-one updates. COLT 2021: 2463-2498 - Robert Lunde, Purnamrita Sarkar, Rachel Ward:
Bootstrapping the Error of Oja's Algorithm. NeurIPS 2021: 6240-6252 - De Huang, Jonathan Niles-Weed, Rachel Ward:
Streaming k-PCA: Efficient guarantees for Oja's algorithm, beyond rank-one updates. CoRR abs/2102.03646 (2021) - Abolfazl Hashemi, Hayden Schaeffer, Robert Shi, Ufuk Topcu, Giang Tran, Rachel Ward:
Function Approximation via Sparse Random Features. CoRR abs/2103.03191 (2021) - Stefan Bamberger, Felix Krahmer, Rachel Ward:
Johnson-Lindenstrauss Embeddings with Kronecker Structure. CoRR abs/2106.13349 (2021) - Abhinav Nellore, Rachel Ward:
Arbitrary-length analogs to de Bruijn sequences. CoRR abs/2108.07759 (2021) - Xiaoxia Wu, Yuege Xie, Simon S. Du, Rachel Ward:
AdaLoss: A computationally-efficient and provably convergent adaptive gradient method. CoRR abs/2109.08282 (2021) - Dimitris Giannakis, Amelia Henriksen, Joel A. Tropp, Rachel Ward:
Learning to Forecast Dynamical Systems from Streaming Data. CoRR abs/2109.09703 (2021) - Yuege Xie, Bobby Shi, Hayden Schaeffer, Rachel Ward:
SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning. CoRR abs/2112.04002 (2021) - 2020
- Lam Si Tung Ho, Hayden Schaeffer
, Giang Tran, Rachel Ward:
Recovery guarantees for polynomial coefficients from weakly dependent data with outliers. J. Approx. Theory 259: 105472 (2020) - Miguel Rivera
, Michael Dommett, Amir Sidat, Warda Rahim
, Rachel Crespo-Otero
:
fromage: A library for the study of molecular crystal excited states at the aggregate scale. J. Comput. Chem. 41(10): 1045-1058 (2020) - Hayden Schaeffer
, Giang Tran, Rachel Ward, Linan Zhang:
Extracting Structured Dynamical Systems Using Sparse Optimization With Very Few Samples. Multiscale Model. Simul. 18(4): 1435-1461 (2020) - Liam McLoughlin
, Stephen Ward
, Rachel Gibson, Rosalynd Southern:
A tale of three tribes: UK MPs, Twitter and the EU Referendum campaign. Inf. Polity 25(1): 49-66 (2020)
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retrieved on 2023-03-23 21:58 CET from data curated by the dblp team
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