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Feb 11, 2016 at 6:30 history tweeted twitter.com/StackCSTheory/status/697668978135691264
Feb 7, 2016 at 21:40 comment added Thomas Steinke @BinFu Please update your question to be precise about what you want. You have not clearly defined the distribution you want to sample from.
Feb 7, 2016 at 15:29 answer added Thomas Steinke timeline score: 1
Feb 7, 2016 at 15:24 comment added Peter Shor @BinFu: the easiest way to improve may be to not use a cube, but to use a slightly larger ball. If the radius is too small, it's still exponential. See my answer.
Feb 7, 2016 at 15:05 answer added Peter Shor timeline score: 3
Feb 7, 2016 at 15:04 comment added Bin Fu I look for random lattice point under uniform distribution, but allow a small bias. Currently I put the ball in a cube and generate random lattice points until one of them is in the ball. It still takes exponential time.
Feb 7, 2016 at 14:51 comment added Bin Fu Yes, I am interested in lattice point as you pointed out. Your algorithm makes some sense. We need to control time and bias.
Feb 7, 2016 at 14:21 comment added usul What distribution? Uniform?
Feb 7, 2016 at 8:20 comment added Rahul Savani If you do not require lattice points, then you can do the following (for sampling uniformly from the L2 ball): Pick a random direction with any spherically symmetric distribution, e.g. picking d coordinates using identical independent normal distributions and using the resulting direction, and then choose the radius, which needs to be chosen with a density for radius $r$ that is proportional to $r^{d-1}$. I suppose you are actually are interested in lattice points (integer points) that lie within the hyperball, but as Thomas requested, please clarify.
Feb 7, 2016 at 6:49 answer added Jaeba timeline score: 0
Feb 7, 2016 at 6:13 review First posts
Feb 7, 2016 at 13:23
Feb 7, 2016 at 6:07 comment added Thomas Steinke What do you mean by "grid point"? Do you just want to sample uniformly from the L2 ball?
Feb 7, 2016 at 6:06 history asked Bin Fu CC BY-SA 3.0