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A Bayesian Approach to Tackling Hard Computational Problems

A Bayesian Approach to Tackling Hard Computational Problems

10 January 2013
Eric Horvitz
Yongshao Ruan
Carla P. Gomes
Henry A. Kautz
B. Selman
D. M. Chickering
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Papers citing "A Bayesian Approach to Tackling Hard Computational Problems"

24 / 24 papers shown
Title
From Medprompt to o1: Exploration of Run-Time Strategies for Medical
  Challenge Problems and Beyond
From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond
Harsha Nori
Naoto Usuyama
Nicholas King
S. McKinney
Xavier Fernandes
Sheng Zhang
Eric Horvitz
LRM
LM&MA
ELM
VLM
55
9
0
06 Nov 2024
Arbitrarily Large Labelled Random Satisfiability Formulas for Machine
  Learning Training
Arbitrarily Large Labelled Random Satisfiability Formulas for Machine Learning Training
D. Achlioptas
Amrit Daswaney
Periklis A. Papakonstantinou
NAI
BDL
17
0
0
21 Nov 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function
  Classes
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
Shivam Garg
Dimitris Tsipras
Percy Liang
Gregory Valiant
29
451
0
01 Aug 2022
Formalizing Preferences Over Runtime Distributions
Formalizing Preferences Over Runtime Distributions
Devon R. Graham
Kevin Leyton-Brown
Tim Roughgarden
14
5
0
25 May 2022
Improved Sample Complexity Bounds for Branch-and-Cut
Improved Sample Complexity Bounds for Branch-and-Cut
Maria-Florina Balcan
Siddharth Prasad
T. Sandholm
Ellen Vitercik
19
14
0
18 Nov 2021
Data-driven Algorithm Design
Data-driven Algorithm Design
Maria-Florina Balcan
11
2
0
14 Nov 2020
Refined bounds for algorithm configuration: The knife-edge of dual class
  approximability
Refined bounds for algorithm configuration: The knife-edge of dual class approximability
Maria-Florina Balcan
T. Sandholm
Ellen Vitercik
6
14
0
21 Jun 2020
How much data is sufficient to learn high-performing algorithms?
  Generalization guarantees for data-driven algorithm design
How much data is sufficient to learn high-performing algorithms? Generalization guarantees for data-driven algorithm design
Maria-Florina Balcan
Dan F. DeBlasio
Travis Dick
Carl Kingsford
T. Sandholm
Ellen Vitercik
18
34
0
08 Aug 2019
Semi-bandit Optimization in the Dispersed Setting
Semi-bandit Optimization in the Dispersed Setting
Maria-Florina Balcan
Travis Dick
W. Pegden
8
20
0
18 Apr 2019
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing
  System Failure
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure
Besmira Nushi
Ece Kamar
Eric Horvitz
9
139
0
19 Sep 2018
ML + FV = $\heartsuit$? A Survey on the Application of Machine Learning
  to Formal Verification
ML + FV = ♡\heartsuit♡? A Survey on the Application of Machine Learning to Formal Verification
Moussa Amrani
L. Lucio
Adrien Bibal
28
5
0
10 Jun 2018
The Algorithm Selection Competitions 2015 and 2017
The Algorithm Selection Competitions 2015 and 2017
Marius Lindauer
Jan N. van Rijn
Lars Kotthoff
19
38
0
03 May 2018
A PAC Approach to Application-Specific Algorithm Selection
A PAC Approach to Application-Specific Algorithm Selection
Rishi Gupta
Tim Roughgarden
28
116
0
23 Nov 2015
Metareasoning for Planning Under Uncertainty
Metareasoning for Planning Under Uncertainty
C. H. Lin
Andrey Kolobov
Ece Kamar
Eric Horvitz
OffRL
LRM
20
34
0
03 May 2015
ParamILS: An Automatic Algorithm Configuration Framework
ParamILS: An Automatic Algorithm Configuration Framework
Frank Hutter
Thomas Stuetzle
Kevin Leyton-Brown
T. Stützle
31
1,066
0
15 Jan 2014
Relaxed Survey Propagation for The Weighted Maximum Satisfiability
  Problem
Relaxed Survey Propagation for The Weighted Maximum Satisfiability Problem
Hai Leong Chieu
Wee Sun Lee
30
54
0
15 Jan 2014
Algorithm Runtime Prediction: Methods & Evaluation
Algorithm Runtime Prediction: Methods & Evaluation
Frank Hutter
Lin Xu
Holger H. Hoos
Kevin Leyton-Brown
33
418
0
05 Nov 2012
Algorithm Selection for Combinatorial Search Problems: A Survey
Algorithm Selection for Combinatorial Search Problems: A Survey
Lars Kotthoff
34
371
0
30 Oct 2012
SATzilla: Portfolio-based Algorithm Selection for SAT
SATzilla: Portfolio-based Algorithm Selection for SAT
Lin Xu
Frank Hutter
Holger H. Hoos
Kevin Leyton-Brown
58
969
0
31 Oct 2011
Solution-Guided Multi-Point Constructive Search for Job Shop Scheduling
Solution-Guided Multi-Point Constructive Search for Job Shop Scheduling
J. Christopher Beck
52
65
0
12 Oct 2011
Simple Algorithm Portfolio for SAT
Simple Algorithm Portfolio for SAT
Mladen Nikolic
Filip Marić
Predrag Janičić
38
38
0
01 Jul 2011
Online Search Cost Estimation for SAT Solvers
Online Search Cost Estimation for SAT Solvers
Shai Haim
T. Walsh
OffRL
62
1
0
29 Jul 2009
Online Estimation of SAT Solving Runtime
Online Estimation of SAT Solving Runtime
Shai Haim
T. Walsh
OffRL
55
18
0
04 Mar 2009
Grammatical Evolution with Restarts for Fast Fractal Generation
Grammatical Evolution with Restarts for Fast Fractal Generation
A. Inselberg
Wil M.P. van der Aalst
Vivying S. Y. Cheng
63
50
0
12 May 2008
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