PPT-Efficient Approximation Schemes for Stochastic Probing and Prophet Problems

Sahil singla Princeton Georgia Tech Joint with danny Segev Tel Aviv University June 27 th 2021 Given a Finite Universe Given an Objective. N with state input and process noise linear noise corrupted observations Cx t 0 N is output is measurement noise 8764N 0 X 8764N 0 W 8764N 0 V all independent Linear Quadratic Stochastic Control with Partial State Obser vation 102 br The first pillar of Islam is our testimony that;. T. here is no God but Allah and that Muhammad is the Messenger of Allah. . The first half of this testimony is our declaration of monotheism. . The second half is our declaration that Muhammad (peace be upon him) is Allah’s Messenger.. Gradient Descent Methods. Jakub . Kone. čný. . (joint work with Peter . Richt. árik. ). University of Edinburgh. Introduction. Large scale problem setting. Problems are often structured. Frequently arising in machine learning. 1. Tsvi. . Kopelowitz. Knapsack. Given: a set S of n objects with weights and values, and a weight bound:. w. 1. , w. 2. , …, w. n. , B (weights, weight bound).. v. 1. , v. 2. , …, v. n. (values - profit).. Sahil. . singla. . Joint work with . Anupam. . gupta. . and. . viswanath. . nagarajan. (2. nd. December, 2015). Stochastic probing. 2. Only 1 hour before shops close!. Orienteering Constraint. Julia Chuzhoy. Toyota Technological Institute at Chicago. Routing Problems. Input. : Graph G, source-sink pairs (s. 1. ,t. 1. ),…,(. s. k. ,t. k. ).. Goal. : Route as many pairs as possible; minimize edge congestion.. Monte Carlo Tree Search. Minimax. search fails for games with deep trees, large branching factor, and no simple heuristics. Go: branching factor . 361 (19x19 board). Monte Carlo Tree Search. Instead . Outline. - Overview. - Methods. - Results. Overview. Paper seeks to:. - present a model to explain the many mechanisms behind LTP and LTD in the visual cortex and hippocampus. - main focus being the implementation of a stochastic model and how it compares to the deterministic model. Sahil. Singla. . (Carnegie Mellon University). Thesis Committee. : . Manuel Blum. , . Anupam. Gupta. , . Robert D. Kleinberg. , . R. Ravi. , . and. . Jan . VondrÁk. (10. th. Nov, 2017). (Probing & Stopping-Time Algorithms). os. the Prophet, the expansion of Islam was not stopped..  Akbar, the Mughal king had started a series of experiments with Islam, propagating his own religion Din-. i. -. Ilahi. , an amalgamation of Hindu and Muslim beliefs. In these circumstances, Sheikh Ahmad set upon himself the task of purifying the Muslim society. His aim was to rid Islam of the accretions of Hindu Pantheism. He was highly critical of the philosophy of . Sahil. Singla. . (Carnegie Mellon University). Joint . Work (. Partly) With . ANUPAM GUPTA . and . VISWANATH NAGARAJAN. (2. nd. Feb, 2018). Combinatorial Optimization. Given a . Finite . Universe. and Matroids. Soheil Ehsani. January 2018. Joint work with M. . Hajiaghayi. , T. . Kesselheim. , S. . Singla. The problem consists of an . initial setting . and a . sequence of events. .. We have to take particular actions . and Matroids. Soheil Ehsani. January 2018. Joint work with M. . Hajiaghayi. , T. . Kesselheim. , S. . Singla. The problem consists of an . initial setting . and a . sequence of events. .. We have to take particular actions . Carisa Petris, Don Liu . Issue . 7. , 2017. A presentation to:. Meeting name. Date. Table of Contents. 01. Background. 02. Types. of studies. 03. Key results. 04. Tables (Risk of Bias/Forest Plots).