337 results on '"Sarwate, Anand D."'
Search Results
102. Minimax Lower Bounds on Dictionary Learning for Tensor Data
103. Identification of kronecker-structured dictionaries: An asymptotic analysis
104. STARK: Structured dictionary learning through rank-one tensor recovery
105. Differentially Private Noisy Search with Applications to Anomaly Detection (Abstract)
106. Differentially-private canonical correlation analysis
107. Data-Dependent Convergence for Consensus Stochastic Optimization
108. A Unified Optimization Approach for Sparse Tensor Operations on GPUs
109. Decentralized independent vector analysis
110. Sample complexity bounds for dictionary learning of tensor data
111. Privacy, security, and the public health researcher in the era of electronic health record research
112. Analysis of a privacy-preserving PCA algorithm using random matrix theory
113. CometCloudCare (C3): Distributed Machine Learning Platform-as-a-Service with Privacy Preservation
114. Differentially Private Online Active Learning with Applications to Anomaly Detection
115. Data-dependent bounds on network gradient descent
116. COINSTAC: A Privacy Enabled Model and Prototype for Leveraging and Processing Decentralized Brain Imaging Data
117. Optimal differential privacy mechanisms under Hamming distortion for structured source classes
118. Minimax lower bounds for Kronecker-structured dictionary learning
119. A bit of delay is sufficient and stochastic encoding is necessary to overcome online adversarial erasures
120. Data-weighted ensemble learning for privacy-preserving distributed learning
121. Randomized requantization with local differential privacy
122. Privacy-preserving source separation for distributed data using independent component analysis
123. Symmetric matrix perturbation for differentially-private principal component analysis
124. On measure concentration of random maximum a-posteriori perturbations
125. Designing Incentive Schemes for Privacy-Sensitive Users
126. Generalized opinion dynamics from local optimization rules
127. Distributed proportional stochastic coordinate descent with social sampling
128. Large scale collaboration with autonomy: Decentralized data ICA
129. Active dictionary learning for image representation
130. Distributed Learning of Distributions via Social Sampling
131. Tradeoffs for task parallelization in distributed optimization
132. A rate-disortion perspective on local differential privacy
133. Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation
134. Stochastic gradient descent with differentially private updates
135. Signal Processing and Machine Learning with Differential Privacy: Algorithms and Challenges for Continuous Data
136. Assisted sampling of correlated sources
137. Risk-limiting Audits and the Margin of Victory in Nonplurality Elections
138. Observation Uncertainty in Gaussian Sensor Networks
139. Merging opinions by social sampling of posteriors
140. An AVC perspective on correlated jamming
141. Improved upper bounds on the capacity of binary channels with causal adversaries
142. Distributed learning from social sampling
143. List-Decoding for the Arbitrarily Varying Channel Under State Constraints
144. Opinion dynamics and distributed learning of distributions
145. Linear strategies for the Gaussian MAC with user cooperation
146. Coding against myopic adversaries
147. Rateless Codes for AVC Models
148. Coding against delayed adversaries
149. Gossip and consensus in mobile networks
150. Reaching consensus in wireless networks with probabilistic broadcast
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