NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (20)

cs.LG2019

Learning from Multiview Correlations in Open-Domain Videos

Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha +2

cs.LG2017

Learning to Imagine Manipulation Goals for Robot Task Planning

Chris Paxton, Kapil Katyal, Christian Rupprecht +2

math.OC2017

On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization

Xingguo Li, Tuo Zhao, Raman Arora +2

cs.CL2016

Embedding Lexical Features via Low-Rank Tensors

Mo Yu, Mark Dredze, Raman Arora +1

cs.LG2018

Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization

Xingguo Li, Junwei Lu, Raman Arora +4

cs.LG2018

Streaming Kernel PCA with $\tilde{O}(\sqrt{n})$ Random Features

Enayat Ullah, Poorya Mianjy, Teodor V. Marinov +1

cs.LG2018

On the Implicit Bias of Dropout

Poorya Mianjy, Raman Arora, Rene Vidal

cs.LG2018

Stochastic Approximation for Canonical Correlation Analysis

Raman Arora, Teodor V. Marinov, Poorya Mianjy +1

cs.LG2015

Stochastic Optimization for Deep CCA via Nonlinear Orthogonal Iterations

Weiran Wang, Raman Arora, Karen Livescu +1

stat.ML2016

Disease Trajectory Maps

Peter Schulam, Raman Arora

cs.LG2016

On Deep Multi-View Representation Learning: Objectives and Optimization

Weiran Wang, Raman Arora, Karen Livescu +1

stat.ML2013

Stochastic Optimization of PCA with Capped MSG

Raman Arora, Andrew Cotter, Nathan Srebro

cs.LG2018

Understanding Deep Neural Networks with Rectified Linear Units

Raman Arora, Amitabh Basu, Poorya Mianjy +1

cs.RO2018

Visual Robot Task Planning

Chris Paxton, Yotam Barnoy, Kapil Katyal +2

cs.LG2017

Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction

Xingguo Li, Raman Arora, Han Liu +2

cs.GT2012

Deterministic MDPs with Adversarial Rewards and Bandit Feedback

Raman Arora, Ofer Dekel, Ambuj Tewari

cs.LG2019

On Dropout and Nuclear Norm Regularization

Poorya Mianjy, Raman Arora

cs.LG2019

On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About Its Nonsmooth Loss Function

Xingguo Li, Haoming Jiang, Jarvis Haupt +4

cs.LG2012

Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret

Raman Arora, Ofer Dekel, Ambuj Tewari

cs.LG2017

Deep Generalized Canonical Correlation Analysis

Adrian Benton, Huda Khayrallah, Biman Gujral +3