Rachel Ward

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 65

Top Venues

Publications

Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR (2024)
Shuo Yang, Yijun Dong, Rachel Ward, Inderjit S. Dhillon, Sujay Sanghavi, Qi Lei
Sample Efficiency of Data Augmentation Consistency Regularization. AISTATS (2023)
Yijun Dong, Kevin Miller, Qi Lei, Rachel Ward
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering. CoRR (2023)
Yijun Dong, Yuege Xie, Rachel Ward
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift. ICML (2023)
Hung-Hsu Chou, Holger Rauhut, Rachel Ward
Robust Implicit Regularization via Weight Normalization. CoRR (2023)
Bingbin Liu, Sébastien Bubeck, Ronen Eldan, Janardhan Kulkarni, Yuanzhi Li, Anh Nguyen, Rachel Ward, Yi Zhang
TinyGSM: achieving >80% on GSM8k with small language models. CoRR (2023)
Dimitrios Giannakis, Amelia Henriksen, Joel A. Tropp, Rachel Ward
Learning to Forecast Dynamical Systems from Streaming Data. SIAM J. Appl. Dyn. Syst. 22 (2) (2023)
Yijun Dong, Kevin Miller, Qi Lei, Rachel Ward
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering. NeurIPS (2023)
Rachel Ward, Tamara G. Kolda
Convergence of Alternating Gradient Descent for Matrix Factorization. CoRR (2023)
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)
Abhinav Nellore, Rachel Ward
Arbitrary-Length Analogs to de Bruijn Sequences. CPM (2022)
Zhijun Chen, Hayden Schaeffer, Rachel Ward
Concentration of Random Feature Matrices in High-Dimensions. MSML (2022)
Ruhui Jin, Joe Kileel, Tamara G. Kolda, Rachel Ward
Scalable symmetric Tucker tensor decomposition. CoRR (2022)
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 (2022)
Itay Evron, Edward Moroshko, Rachel Ward, Nathan Srebro, Daniel Soudry
How catastrophic can catastrophic forgetting be in linear regression? COLT (2022)
Yuege Xie, Robert Shi, Hayden Schaeffer, Rachel Ward
SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning. MSML (2022)
Shuo Yang, Yijun Dong, Rachel Ward, Inderjit S. Dhillon, Sujay Sanghavi, Qi Lei
Sample Efficiency of Data Augmentation Consistency Regularization. CoRR (2022)
De Huang, Jonathan Niles-Weed, Joel A. Tropp, Rachel Ward
Matrix Concentration for Products. Found. Comput. Math. 22 (6) (2022)
Aaron Defazio, Mark Tygert, Rachel Ward, Jure Zbontar
Compressed sensing with a jackknife and a bootstrap. J. Data Sci. Stat. Vis. 2 (4) (2022)
Xiaoxia Wu, Yuege Xie, Simon Shaolei Du, Rachel Ward
AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method. AAAI (2022)
Zhijun Chen, Hayden Schaeffer, Rachel Ward
Concentration of Random Feature Matrices in High-Dimensions. CoRR (2022)
Nhat Ho, Tongzheng Ren, Sujay Sanghavi, Purnamrita Sarkar, Rachel Ward
An Exponentially Increasing Step-size for Parameter Estimation in Statistical Models. CoRR (2022)
Raghu Bollapragada, Tyler Chen, Rachel Ward
On the fast convergence of minibatch heavy ball momentum. CoRR (2022)
Itay Evron, Edward Moroshko, Rachel Ward, Nati Srebro, Daniel Soudry
How catastrophic can catastrophic forgetting be in linear regression? CoRR (2022)
Yijun Dong, Yuege Xie, Rachel Ward
AdaWAC: Adaptively Weighted Augmentation Consistency Regularization for Volumetric Medical Image Segmentation. CoRR (2022)
Stefan Bamberger, Felix Krahmer, Rachel Ward
Johnson-Lindenstrauss Embeddings with Kronecker Structure. SIAM J. Matrix Anal. Appl. 43 (4) (2022)
Juncai He, Richard Tsai, Rachel Ward
Side-effects of Learning from Low Dimensional Data Embedded in an Euclidean Space. CoRR (2022)
Robert Lunde, Purnamrita Sarkar, Rachel Ward
Bootstrapping the Error of Oja's Algorithm. NeurIPS (2021)
Dimitris Giannakis, Amelia Henriksen, Joel A. Tropp, Rachel Ward
Learning to Forecast Dynamical Systems from Streaming Data. CoRR (2021)
Abolfazl Hashemi, Hayden Schaeffer, Robert Shi, Ufuk Topcu, Giang Tran, Rachel Ward
Function Approximation via Sparse Random Features. CoRR (2021)
Stefan Bamberger, Felix Krahmer, Rachel Ward
Johnson-Lindenstrauss Embeddings with Kronecker Structure. CoRR (2021)
Abhinav Nellore, Rachel Ward
Arbitrary-length analogs to de Bruijn sequences. CoRR (2021)
De Huang, Jonathan Niles-Weed, Rachel Ward
Streaming k-PCA: Efficient guarantees for Oja's algorithm, beyond rank-one updates. CoRR (2021)
Xiaoxia Wu, Yuege Xie, Simon S. Du, Rachel Ward
AdaLoss: A computationally-efficient and provably convergent adaptive gradient method. CoRR (2021)
Yuege Xie, Bobby Shi, Hayden Schaeffer, Rachel Ward
SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning. CoRR (2021)
De Huang, Jonathan Niles-Weed, Rachel Ward
Streaming k-PCA: Efficient guarantees for Oja's algorithm, beyond rank-one updates. COLT (2021)
Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel Ward, Qiang Liu
Implicit Regularization and Convergence for Weight Normalization. NeurIPS (2020)
Yuege Xie, Rachel Ward, Holger Rauhut, Hung-Hsu Chou
Weighted Optimization: better generalization by smoother interpolation. CoRR (2020)
Yuege Xie, Xiaoxia Wu, Rachel Ward
Linear Convergence of Adaptive Stochastic Gradient Descent. AISTATS (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 (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) (2020)
Denali Molitor, Deanna Needell, Rachel Ward
Bias of Homotopic Gradient Descent for the Hinge Loss. CoRR (2019)
Amelia Henriksen, Rachel Ward
AdaOja: Adaptive Learning Rates for Streaming PCA. CoRR (2019)
Ruhui Jin, Tamara G. Kolda, Rachel Ward
Faster Johnson-Lindenstrauss Transforms via Kronecker Products. CoRR (2019)
Xiaoxia Wu, Simon S. Du, Rachel Ward
Global Convergence of Adaptive Gradient Methods for An Over-parameterized Neural Network. CoRR (2019)
Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel Ward, Qiang Liu
Implicit Regularization of Normalization Methods. CoRR (2019)
Yuege Xie, Xiaoxia Wu, Rachel Ward
Linear Convergence of Adaptive Stochastic Gradient Descent. CoRR (2019)
Rachel Ward, Xiaoxia Wu, Léon Bottou
AdaGrad stepsizes: sharp convergence over nonconvex landscapes. ICML (2019)
Hayden Schaeffer, Giang Tran, Rachel Ward
Extracting Sparse High-Dimensional Dynamics from Limited Data. SIAM J. Appl. Math. 78 (6) (2018)
Christopher Kennedy, Rachel Ward
Greedy Variance Estimation for the LASSO. CoRR (2018)
Rachel Ward, Xiaoxia Wu, Léon Bottou
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes, from any initialization. CoRR (2018)
Lam Si Tung Ho, Hayden Schaeffer, Giang Tran, Rachel Ward
Recovery guarantees for polynomial approximation from dependent data with outliers. CoRR (2018)
Hayden Schaeffer, Giang Tran, Rachel Ward, Linan Zhang
Extracting structured dynamical systems using sparse optimization with very few samples. CoRR (2018)
Xiaoxia Wu, Rachel Ward, Léon Bottou
WNGrad: Learn the Learning Rate in Gradient Descent. CoRR (2018)
Giang Tran, Rachel Ward
Exact Recovery of Chaotic Systems from Highly Corrupted Data. Multiscale Model. Simul. 15 (3) (2017)
Christopher Kennedy, Rachel Ward
Fast Cross-Polytope Locality-Sensitive Hashing. ITCS (2017)
Bubacarr Bah, Rachel Ward
The Sample Complexity of Weighted Sparse Approximation. IEEE Trans. Signal Process. 64 (12) (2016)
Soledad Villar, Afonso S. Bandeira, Andrew J. Blumberg, Rachel Ward
A polynomial-time relaxation of the Gromov-Hausdorff distance. CoRR (2016)
Karin Knudson, Rayan Saab, Rachel Ward
One-Bit Compressive Sensing With Norm Estimation. IEEE Trans. Inf. Theory 62 (5) (2016)
Dustin G. Mixon, Soledad Villar, Rachel Ward
Clustering subgaussian mixtures with k-means. ITW (2016)
Dustin G. Mixon, Soledad Villar, Rachel Ward
Clustering subgaussian mixtures by semidefinite programming. CoRR (2016)
Shahar Mendelson, Holger Rauhut, Rachel Ward
Improved bounds for sparse recovery from subsampled random convolutions. CoRR (2016)
Deanna Needell, Rachel Ward
Batched Stochastic Gradient Descent with Weighted Sampling. CoRR (2016)
Deanna Needell, Nathan Srebro, Rachel Ward
Stochastic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm. Math. Program. 155 (1-2) (2016)
Christopher Kennedy, Rachel Ward
Fast Cross-Polytope Locality-Sensitive Hashing. CoRR (2016)
Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, Rachel Ward
Completing any low-rank matrix, provably. J. Mach. Learn. Res. 16 (2015)
Felix Krahmer, Deanna Needell, Rachel Ward
Compressive Sensing with Redundant Dictionaries and Structured Measurements. SIAM J. Math. Anal. 47 (6) (2015)
Felix Krahmer, Deanna Needell, Rachel Ward
Compressive Sensing with Redundant Dictionaries and Structured Measurements. CoRR (2015)
Bubacarr Bah, Rachel Ward
The sample complexity of weighted sparse approximation. CoRR (2015)
Abhinav Nellore, Rachel Ward
Recovery guarantees for exemplar-based clustering. Inf. Comput. 245 (2015)
Pranjal Awasthi, Afonso S. Bandeira, Moses Charikar, Ravishankar Krishnaswamy, Soledad Villar, Rachel Ward
Relax, No Need to Round: Integrality of Clustering Formulations. ITCS (2015)
Deanna Needell, Rachel Ward, Nathan Srebro
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm. NIPS (2014)
Felix Krahmer, Rachel Ward
Stable and Robust Sampling Strategies for Compressive Imaging. IEEE Trans. Image Process. 23 (2) (2014)
Pranjal Awasthi, Afonso S. Bandeira, Moses Charikar, Ravishankar Krishnaswamy, Soledad Villar, Rachel Ward
Relax, no need to round: integrality of clustering formulations. CoRR (2014)
Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, Rachel Ward
Coherent Matrix Completion. ICML (2014)
Rachel Ward
. CoRR (2014)
Deanna Needell, Nathan Srebro, Rachel Ward
Stochastic gradient descent and the randomized Kaczmarz algorithm. CoRR (2013)
Deanna Needell, Rachel Ward
Stable Image Reconstruction Using Total Variation Minimization. SIAM J. Imaging Sci. 6 (2) (2013)
Mark A. Iwen, Fadil Santosa, Rachel Ward
A Symbol-Based Algorithm for Decoding Bar Codes. SIAM J. Imaging Sci. 6 (1) (2013)
Abhinav Nellore, Rachel Ward
Recovery guarantees for exemplar-based clustering. CoRR (2013)
Deanna Needell, Rachel Ward
Near-Optimal Compressed Sensing Guarantees for Total Variation Minimization. IEEE Trans. Image Process. 22 (10) (2013)
Srinadh Bhojanapalli, Yudong Chen, Sujay Sanghavi, Rachel Ward
Coherent Matrix Completion. CoRR (2013)
Felix Krahmer, Rayan Saab, Rachel Ward
Root-Exponential Accuracy for Coarse Quantization of Finite Frame Expansions. IEEE Trans. Inf. Theory 58 (2) (2012)
Deanna Needell, Rachel Ward
Stable image reconstruction using total variation minimization CoRR (2012)
Deanna Needell, Rachel Ward
Total variation minimization for stable multidimensional signal recovery CoRR (2012)
Felix Krahmer, Rachel Ward
Compressive imaging: stable and robust recovery from variable density frequency samples CoRR (2012)
Nicolas Burq, Semyon Dyatlov, Rachel Ward, Maciej Zworski
Weighted Eigenfunction Estimates with Applications to Compressed Sensing. SIAM J. Math. Anal. 44 (5) (2012)
Mark A. Iwen, Fadil Santosa, Rachel Ward
A symbol-based algorithm for decoding bar codes CoRR (2012)
Holger Rauhut, Rachel Ward
-minimization. J. Approx. Theory 164 (5) (2012)
Felix Krahmer, Rachel Ward
New and Improved Johnson-Lindenstrauss Embeddings via the Restricted Isometry Property. SIAM J. Math. Anal. 43 (3) (2011)
Massimo Fornasier, Holger Rauhut, Rachel Ward
Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization. SIAM J. Optim. 21 (4) (2011)
William Perkins, Mark Tygert, Rachel Ward
Computing the confidence levels for a root-mean-square test of goodness-of-fit. Appl. Math. Comput. 217 (22) (2011)
Leanne M. Hirshfield, Stuart H. Hirshfield, Samuel W. Hincks, Matthew Russell, Rachel Ward, Tom Williams
Trust in Human-Computer Interactions as Measured by Frustration, Surprise, and Workload. HCI (20) (2011)
Leanne M. Hirshfield, Rebecca Gulotta, Stuart H. Hirshfield, Samuel W. Hincks, Matthew Russell, Rachel Ward, Tom Williams, Robert J. K. Jacob
This is your brain on interfaces: enhancing usability testing with functional near-infrared spectroscopy. CHI (2011)
Boris Alexeev, Rachel Ward
On the Complexity of Mumford-Shah-Type Regularization, Viewed as a Relaxed Sparsity Constraint. IEEE Trans. Image Process. 19 (10) (2010)
Massimo Fornasier, Rachel Ward
Iterative Thresholding Meets Free-Discontinuity Problems. Found. Comput. Math. 10 (5) (2010)
Holger Rauhut, Rachel Ward
Efficient and stable recovery of Legendre-sparse polynomials. CISS (2010)
Felix Krahmer, Rachel Ward
New and improved Johnson-Lindenstrauss embeddings via the Restricted Isometry Property CoRR (2010)
Felix Krahmer, Rachel Ward
Lower bounds for the error decay incurred by coarse quantization schemes CoRR (2010)
Rachel Ward
Compressed sensing with cross validation. IEEE Trans. Inf. Theory 55 (12) (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rachel Ward