Neural Information Processing Systems http://nips.cc/

We study the Stochastic Shortest Path (SSP) problem in which an agent has to reach a goal state in minimum total expected cost. In the learning formulation ofthe problem, the agent has no prior knowledge about the costs and dynamics of the model. She repeatedly interacts with the model forK episodes, and has to minimize her regret. In this work we show that the minimax regret for this setting is eO( p (B2?+B?)|S||A|K)whereB?

Google has enhanced its'Results About You' privacy tool to help users monitor and remove personal information like government ID numbers from search results, according to PCWorld. The update includes a streamlined process for removing explicit images through a three-dot menu option and allows bulk removal requests. These privacy improvements are rolling out in the US first as part of Google's Safer Internet Day initiatives, giving users better control over their digital footprint. In celebration of Safer Internet Day, Google rolled out an update to its "Results About You" feature and launched a new, simpler tool for removing unwanted explicit images from search results. With Results About You, you can tell Google to keep track of search results where your personal information appears, and then ask Google to remove those search results. The feature has previously been able to track search results with your home address, email address, and phone number, but now the search engine will also be able to warn you about search results that include your government documents, such as passports or driver's licenses. The update to Results About You will first be rolled out in the United States over the coming days, but Google is working on adapting the feature for other regions as well.

People have a right to know who their neighbors are, especially when it's ICE. On Tuesday, WIRED published details of ICE's planned expansion into more than 150 office spaces across the United States, including 54 specific addresses. ICE has designs on every major US city. It plans to not only occupy existing government spaces but share hallways and elevator bays with medical offices and small businesses. It will be down the street from daycares and within walking distance of churches and treatment centers.

Consequently, there exists a nearly trivial discriminator that can perfectly distinguish real data samples from synthetic ones.

Objects are composed of a set of geometrically organized parts. We introducean unsupervised capsule autoencoder ( SCAE), which explicitly uses geometric relationships between parts toreason about objects. Since these relationships do not depend on the viewpoint, our model is robust to viewpoint changes.

We establish upper bounds on the regrets of the problem with respect to time horizon, manifold curvature, and manifold dimension.