Birs- 18w5162: Intersection of Information Theory and Signal Processing: New Signal Models, their Information Content and Acquisition Complexity
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Title: Learning Regularizers from Data
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Link:http://www.birs.ca/events/2018/5-day-workshops/18w5162/videos/watch/201810290903-Chandrasekaran.html
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Title: Comparing Signal Recovery Algorithms: Phase Transition Analysis and Beyond
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Title: Parameter instability regimes in proximal denoising
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Title: Beyond Binomial and Negative Binomial: Adaptation in Bernoulli Parameter Estimation
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Title: Information efficient data acquisition using analog to digital compression
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Title: Compressed Sensing in the Presence of Speckle Noise
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Title: On a New Approach to Random Access Communication
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Title: False Discovery and Its Control in Low Rank Estimation
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Title: Quantization for Low-Rank Matrix Recovery
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Title: Near-optimal sample complexity for convex tensor completion
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Title: Concentration for Euclidean Norm of Random Vectors
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Title: Hardware-limited task-based quantization.
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Title: Fractional Programming for Communication Systems
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Title: Spatial Deep Learning for Wireless Scheduling
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Title: Local Geometric Analysis and Applications to Learning Algorithms.
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Title: On Deep Learning for Inverse Problems
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Title: Principal Inertia Components & Applications
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Title: Using compression codes for efficient data acquisition
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Title: New and Improved Binary Embeddings of Data (and Quantization for Compressed Sensing with Structured Random Matrices)
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Title: Dithered quantized compressive sensing with arbitrary RIP matrices
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