IBM R&D Labs in Israel

Posters

• Elad Hazan, Kfir Levy, and Shai Shalev-Shwartz,
  Beyond Convexity: Stochastic Quasi-Convex Optimization
• Avishai Wagner and Or Zuk,
  Low-Rank Matrix Recovery from Row-and-Column Affine Measurements
• Itamar Katz and Koby Crammer,
  Outlier-Robust Convex Segmentation
• Daniel Mankowitz, Timothy Mann and Shie Mannor,
  Bootstrapping Skills
• Dan Rosenbaum and Yair Weiss,
  The Return of the Gating Network: combining generative models and discriminative training in natural image priors
• Elad Hazan, Roi Livni and Yishay Mansour,
  Classification with Low Rank and Missing Data
• O. Tropp, J. Gildenblat, A. Belosov, E. Rubin, E. Hoffer, D. Trede, J.H. Kobarg, F. Orlando Galashan, P. Maass, T. Alexandrov, and Chen Sagiv,
  Deep Learning for Structure Detection, Classification and Dimensionality Reduction in MALDI-Imaging
• Orly Avner and Shie Mannor,
  Learning to coordinate without communication in multi-user MABs
• Shlomo E. Chazan, Jacob Goldberger and Sharon Gannot,
  A Hybrid Approach for Speech Enhancement Using MoG Model
• Benjamin Klein, Guy Lev, Gil Sadeh, and Lior Wolf,
  Associating Neural Word Embeddings With Deep Image Representations Using Fisher Vectors
• Daniel Soudry, Itay Hubara, and Ron Meir,
  Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights
• Amit Moscovich-Eiger and Boaz Nadler,
  Fast computation of boundary crossing probabilities for the empirical CDF
• Elad Kravi, Eugene Agichtein, Ido Guy, Yaron Kanza, Avihai Mejer, and Dan Pelleg,
  Searcher in a Strange Land: Understanding Web Search from Familiar and Unfamiliar Locations