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Spotlight
Tue 17:55 Online Learning of Linear Dynamical Systems
Elad Hazan · Karan Singh · Cyril Zhang
Poster
Tue 18:30 Learning Linear Dynamical Systems via Spectral Filtering
Elad Hazan · Karan Singh · Cyril Zhang
Poster
Tue 18:30 Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
Naoya Takeishi · Yoshinobu Kawahara · Takehisa Yairi
Poster
Mon 18:30 Scalable Variational Inference for Dynamical Systems
Nico S Gorbach · Stefan Bauer · Joachim M Buhmann
Poster
Wed 18:30 Multi-view Matrix Factorization for Linear Dynamical System Estimation
Mahdi Karami · Martha White · Dale Schuurmans · Csaba Szepesvari
Poster
Wed 18:30 Random Projection Filter Bank for Time Series Data
Amir-massoud Farahmand · Sepideh Pourazarm · Daniel Nikovski
Poster
Mon 18:30 Principles of Riemannian Geometry in Neural Networks
Michael Hauser · Asok Ray
Poster
Tue 18:30 Efficient and Flexible Inference for Stochastic Systems
Stefan Bauer · Nico S Gorbach · Djordje Miladinovic · Joachim M Buhmann
Poster
Tue 18:30 Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos
Gerasimos Palaiopanos · Ioannis Panageas · Georgios Piliouras
Poster
Tue 18:30 Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding
Wenbing Huang · Mehrtash Harandi · Tong Zhang · Lijie Fan · Fuchun Sun · Junzhou Huang
Poster
Tue 18:30 Inverse Filtering for Hidden Markov Models
Robert Mattila · Cristian Rojas · Vikram Krishnamurthy · Bo Wahlberg
Poster
Tue 18:30 Diffusion Approximations for Online Principal Component Estimation and Global Convergence
Chris Junchi Li · Mengdi Wang · Tong Zhang