Upcoming Seminars, Events,
and Distinguished Guests |
|
| Speaker |
University |
Title |
Date |
Time |
Place |
|
|
|
|
|
|
|
| Ali Jadbabaie |
University Talk |
Distributed Coordination: From Flocking and Synchronization to Coverage in Sensor Networks |
May 1, 2007 |
3:00
|
TTI_C
|
| |
| Andrea Bertozzi |
University Talk |
Swarming by Nature and by Design |
April 24, 2007 |
3:00
|
TTI-C Conference room
|
| |
| TBA |
TTI- UIUC-UC Vision Meeting |
TBA |
December 12, 2006 |
9:00-5:00
|
TTI-C conference room
|
| |
| Jacob Matthews |
University Talk |
TBA |
November 17, 2006 |
12:00
|
TTI-C Conference room
|
| |
| Lance Fortnow |
University Talk- Theory Group |
Complexity of Fooling Forecast Testers |
November 16, 2006 |
11:45
|
TTI-C Conference room
|
| |
| Benoit Hudson |
University Talk |
Sparse Mesh Refinement |
November 14, 2006 |
12:30
|
TTI-C Conference room
|
| |
| Nicholas Eriksson |
University Seminar |
Viral population estimation using pyrosequencing |
November 14, 2006 |
10:00
|
TTI-C Conference room
|
| |
| John Reppy |
PL Lunch |
Paralell Concurrent ML |
November 10, 2006 |
12:00pm
|
TTI-C Conference room
|
| |
| Varsha Dani |
Theory Seminar |
Algebraic Structures and Algorithms for Matching and Matroid Problems |
November 9, 2006 |
12:00 pm
|
TTI-C Conference room
|
| |
| Sanjeev Arora |
Distinguished Lecture |
What is Theoretical Computer Science ? |
November 7, 2006 |
2:00 pm
|
Eckert Hall room 133
|
| |
| Peter McCullagh |
Seminar |
Stochastic Classification Models |
November 6, 2006 |
12:15
|
TTI-C conference room
|
| |
| Derek Dreyer |
Programming Launguage lunch |
Prinicpal Type Schemes for Modular Programs |
November 3, 2006 |
12:00
|
|
| |
| Erik Learned Miller |
University Talk |
Detection, Alignment, and Recognition: Relationships and Synergies ( Joint work with Andras Ferencz, |
November 3, 2006 |
10:00 am
|
TTI-C
|
| |
| Paola Codenotti |
Theory Seminar |
Minimum Bounded Degree Spanning Trees |
November 2, 2006 |
12:00
|
TTI-C conference room
|
| |
| |
Faculty Seminar Series |
TBA |
October 30, 2006 |
12:00
|
TTI-C Conference room
|
| |
| Matthew Hammer |
Programming Languages Lunch |
Towards Concurrent Adaptive Programming |
October 27, 2006 |
12:00 pm
|
TTI-C Conference room
|
| |
| Harald Raecke |
Theory Seminar |
Algorithms for Sorting Buffers in HST's |
October 26, 2006 |
12:00
|
TTI-C Conference room
|
| |
| Guillermo Sapiro |
University of Minnesota |
Colorization, Special Effects, and Interactive Image Segmentation via Fast Distance Functions |
October 24, 2006 |
3:00pm
|
TTI-C
|
| |
| Tomaso Poggio |
M.I.T-Computer Science and Artificial Intelligence Lab, Brain Sciences Department |
Model of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Strea |
October 23, 2006 |
3:00 pm
|
TTI-C Conference room
|
| |
| David McAllester |
Faculty Lunch |
TBA |
October 23, 2006 |
12:00 pm
|
TTI-C Confernce room
|
| |
| John Reppy |
Programming Languages Lunch |
Application- Specific Foreign -Interface Generation |
October 20, 2006 |
12:00
|
TTI-C Conference room
|
| |
| Sourav Chakraborty |
Theory Seminar |
Zero-Error List Decoding Capacity of the q/( q-1) Channel |
October 19, 2006 |
12:00
|
TTI-C Conference roon
|
| |
| John Birge |
University Talk |
Decomposition Methods for Dynamic, Stochastic Optimization |
October 17, 2006 |
12:15 pm
|
TTI-C conference room
|
| |
| John Riehl |
Programming Languages Lunch |
Assimilating Metaborg: Embedding Language tools in Language |
October 13, 2006 |
12:00
|
TTI-C Conference room
|
| |
| Hariharan Narayanan |
Theory Seminar |
Heat Flow and Faster Algorithm to Compute the Surface Area of a Convex Body |
October 12, 2006 |
12:00 pm
|
TTI-C Conference room
|
| |
| Aaron Turon |
Programming Languages Lunch |
ML-ANTLR: A pred-LL(k) Parser |
October 6, 2006 |
12:00
|
TTI-C Conference room
|
| |
| Tom Hayes |
Theory Seminar |
Eigenvalues of graphs and generating random colorings |
October 5, 2006 |
12:00
|
TTI-C Conference room
|
| |
| Elad Verbin |
TTI-C/Tel-Aviv University
Show and Tell Series-Lunch |
TBA |
August 1, 2006 |
12:00pm
|
TTI-C
|
| |
| Miguel Carreira-Perpinan |
CSEE, OGI, Oregon Health & Science University |
Gaussian Mean-Shift Algorithms |
July 5, 2006 |
12:00pm
|
TTI-C
|
| |
| Adam Klivans |
University of Texas at Austin |
Lower Bounds on the Statistical-Query Dimension of Intersections of Halfspaces |
June 12, 2006 |
3:00pm
|
TTI-C
|
| |
| Sean Mooney |
Bioinformatics Seminar - Indiana University School of Medicine |
Tools for Annotation of Sequence and Structurally Conserved Environments in Proteins |
June 5, 2006 |
2:00pm
|
TTI-C
|
| |
| Robert Kleinberg |
University of California, Berkeley |
Learning an Admission Threshold |
June 5, 2006 |
11:00am
|
TTI-C
|
| |
| Amit Chakrabarti |
Dartmouth College |
Estimating Entropy and Entropy Norm on Data Streams |
May 26, 2006 |
2:30pm
|
TTI-C
|
| |
| Dan Roth |
University of Illinois at Urbana-Champaign - Machine Learning Reading Group |
TBA |
May 26, 2006 |
12:00pm
|
TTI-C
|
| |
| Manyuan Long |
The University of Chicago - Bioinformatics Seminar |
New Genes Behind Males |
May 22, 2006 |
2:00pm
|
TTI-C
|
| |
| Guy Lebanon |
Purdue University - Machine Learning Reading Group |
Sequential Document Representations and Simplicial Curves |
May 19, 2006 |
12:00pm
|
TTI-C
|
| |
| Yann LeCun |
TTI-C Distinguished Lecturer Series, New York University |
Supervised and Unsupervised Learning with Energy-Based Models |
May 18, 2006 |
3:00pm
|
Ryerson 251
|
| |
| Steve Smale |
TTI-C Show and Tell Series - Lunch |
Emergent Behavior in Flocks |
May 16, 2006 |
12:15pm
|
TTI-C
|
| |
| Sanjoy Dasgupta |
University of California San Diego |
A Central Limit Theorem for Projections |
May 8, 2006 |
12:00pm
|
TTI-C
|
| |
| Chris Wiggins |
Columbia University |
Predictive Modeling of Network Evolution and Genetic Expression |
May 4, 2006 |
10:00am
|
TTI-C
|
| |
| Zhaozhong Ni |
Yale University |
Modular Machine Code Verification |
May 2, 2006 |
10:00am
|
TTI-C
|
| |
| Yitzhak Mandelbaum |
Princeton University |
The Theory and Practice of Data Description |
May 1, 2006 |
10:00am
|
TTI-C
|
| |
| Michael Kearns |
TTI-C, Distinguished Lecturer Series, University of Pennsylvania |
Behavioral Graph Coloring |
April 28, 2006 |
3:00pm
|
Ryerson 251
|
| |
| Mark Sandler |
Cornell University |
Algorithms for Mixture Models: Analysis and Experiments |
April 27, 2006 |
10:00am
|
TTI-C
|
| |
| Ilya Ruvinsky |
Bioinformatics Seminar - U of C Department of Ecology and Eolution |
Computational and comparative view of evolution and development in |
April 25, 2006 |
2:00pm
|
TTI-C
|
| |
| Amal Ahmed |
Harvard University |
Taming Mutable State |
April 19, 2006 |
10:00am
|
TTI-C
|
| |
| Alexander Ihler |
University of California Irvine |
Loopy Belief Propagation: Convergence and Approximations |
April 17, 2006 |
10:00am
|
TTI-C
|
| |
| Venkat i Guruswami |
University of Washington |
List Decoding: What, Why and How? |
April 13, 2006 |
11:15am
|
TTI-C
|
| |
| Mohammad Mahdian |
Microsoft Research Theory Group |
Marriage, Honesty, and Stability |
April 13, 2006 |
10:00am
|
TTI-C
|
| |
| Ken Clarkson |
Bell Laboratories |
Approximating Surfaces with Meshes |
April 12, 2006 |
10:00am
|
TTI-C
|
| |
| Ryan Lilien |
Dartmouth College |
Algorithmic Challenges and Biological Results in Computational and Systems Biology |
April 11, 2006 |
10:00am
|
TTI-C
|
| |
| Xiaofeng Ren |
University of California at Berkeley |
Probabilistic Models for Parsing Images |
April 10, 2006 |
10:00am
|
TTI-C
|
| |
| Eyal Even-Dar |
Machine Learning Reading Group - Lunch |
On Nash Equilibria for a Network Creation Game |
April 7, 2006 |
12:00pm
|
TTI-C
|
| |
| Hal Daume III |
University of Southern California |
Flexible Machine Learning for Hard Language Problems |
March 23, 2006 |
10:00am
|
TTI-C
|
| |
| Amit Deshpande |
MIT -Theory Seminar |
Sampling techniques in low-rank matrix approximation |
March 22, 2006 |
12:40pm
|
TTI-C
|
| |
| Anupam Gupta |
CMU |
Approximation Algorithms for Stochastic Optimization |
March 21, 2006 |
10:00am
|
TTI-C
|
| |
| Nathan Srebro |
University of Toronto |
Maximum Margin Matrix Factorization |
March 17, 2006 |
10:00am
|
TTI-C
|
| |
| Silvio Micali |
TTI-C Distinguished Lecturer Series, MIT - CSAIL |
Rational Secure Computation and Ideal Mechanism Design |
March 16, 2006 |
3:00pm
|
Ryerson 251
|
| |
| Brona Brejova |
University of Waterloo |
Knowing More about Alignments Helps in Finding Them |
March 14, 2006 |
10:00am
|
TTI-C
|
| |
| Dean Foster |
Machine Learning Seminar - Statistics, Wharton University of Pennsylvania |
Feature Selection: An Auction Model for Finding Good Features |
March 10, 2006 |
12:00pm
|
TTI-C
|
| |
| Matthew Fluet |
Cornell University |
Type-systems for Resource Conscious Programs |
March 9, 2006 |
10:00am
|
TTI-C
|
| |
| Viktor Kuncak |
MIT-CSAIL |
Modular Static Analysis with Sets and Relations |
March 8, 2006 |
10:00am
|
TTI-C
|
| |
| Seth Pettie |
Max Planck Institut für Informatik |
Finding the Shortest Path |
March 7, 2006 |
10:00am
|
TTI-C
|
| |
| Emanuele Viola |
Harvard University |
Derandomization: New Results and Applications |
March 6, 2006 |
10:00am
|
TTI-C
|
| |
| Bhaskar DasGupta |
University of Illinois at Chicago |
Randimized Approximations for Offline and Online Set-multicover Problems |
March 3, 2006 |
3:00pm
|
TTI-C
|
| |
| Tong Zhang |
Yahoo |
Learning with Structured Inputs |
March 3, 2006 |
12:00pm
|
TTI-C
|
| |
| Kristen Grauman |
MIT-CSAIL |
Efficient Matching for Recognition and Retrieval |
March 2, 2006 |
10:00am
|
TTI-C
|
| |
| Ryan O'Donnell |
Microsoft Research Theory Group |
Constraint Satisfaction and Property Testing |
March 1, 2006 |
2:30pm
|
Ryerson 251
|
| |
| Cristian Sminchisescu |
Show and Tell Series - Lunch |
TBA |
February 27, 2006 |
12:00pm
|
TTI-C
|
| |
| Santosh Vempala |
MIT |
Dispersion of Mass and the Complexity of Randomized Algorithms |
February 24, 2006 |
10:00am
|
TTI-C
|
| |
| Elad Hazan |
Princeton University |
New Techniques in Online Convex Optimization and their Applications |
February 23, 2006 |
10:00am
|
TTI-C
|
| |
| Atsushi Ohori |
Research Institute of Electrical Communication-Tohoku University, Japan |
Development of the SML# Compiler |
February 22, 2006 |
2:30pm
|
Ryerson 251
|
| |
| Nir Ailon |
Princeton University |
New Algorithms for High-Dimensional, Inconsistent Datasets |
February 21, 2006 |
10:00am
|
TTI-C
|
| |
| Yael Tauman Kalai |
MIT |
Limits of Obfuscation |
February 16, 2006 |
10:00am
|
TTI-C
|
| |
| David McAllester |
Show and Tell Series-Lunch |
A Min-Cover Approach to Finding Multiple Curves in an Image |
February 14, 2006 |
12:15pm
|
TTI-C
|
| |
| Conrad Gilliam and Yoav Gilad |
Bioinformatics Seminar |
Autism Gene Networks and Gene Regulatory Sequences |
January 31, 2006 |
2:00pm
|
TTI-C
|
| |
| Minh Ha Quang |
Show and Tell Series - Lunch |
The RKHS Norm as a Complexity Measure and Its Computation |
January 31, 2006 |
12:15pm
|
TTI-C
|
| |
| Alantha Newman |
The Max Planck Institute |
Aggregating Inconsistent Information: Ranking and Clustering |
January 30, 2006 |
10:00am
|
TTI-C
|
| |
| Eva Tardos |
TTI-C Distinguished Lecturer Series - Cornell University |
Network Games and the Price of Anarchy and Stability |
January 24, 2006 |
3:00pm
|
Ryerson 251
|
| |
| Sham Kakade |
Machine Learning Reading Group |
TBA |
January 20, 2006 |
12:00pm
|
TTI-C
|
| |
| Mitsunori Ogihara |
University of Rochester |
Estimating Entropy of Network Traffic Data |
January 19, 2006 |
10:00am
|
TTI-C
|
| |
| Hariharan Narayanan |
Theory Reading Group |
Pass efficient algorithm for approximating large matrices |
January 18, 2006 |
12:40
|
TTI-C
|
| |
| Deva Ramanan |
Show and Tell Series - Lunch |
Training Deformable Models for Localization in Images |
January 17, 2006 |
12:15pm
|
TTI-C
|
| |
| Hal Daume |
Machine Learning Reading Group - Lunch |
NLP For Smart People Who Know Nothing about NLP |
January 13, 2006 |
12:00pm
|
TTI-C
|
| |
| Shmuel Friedland |
University of Illinois at Chicago |
The Role of Singular Value Decomposition in Data Analysis |
January 12, 2006 |
10:00am
|
TTI-C
|
| |
| John Langford |
Show and Tell Series - Lunch |
Agnostic Active Learning |
January 10, 2006 |
12:15pm
|
TTI-C
|
| |
| David McAllester |
Show and Tell Series-Lunch |
TBA |
January 2, 2006 |
12;15pm
|
TTI-C
|
| |
| Umut Acar |
Show and Tell Series - Lunch |
Kinetic Algorithms via Self-Adjusting Computation |
December 13, 2005 |
1215pm
|
TTI-C
|
| |
| Anders Logg |
Show and Tell Series - Lunch |
How large is the error? |
December 6, 2005 |
12:15pm
|
TTI-C
|
| |
| Harald Raecke |
Show and Tell Series - Lunch |
Oblivious Network Design |
November 29, 2005 |
12:15pm
|
TTI-C
|
| |
| Yasemin Altun |
Show and Tell Series - Lunch |
Adaptation of sequence models in novel domains |
November 22, 2005 |
12:15pm
|
TTI-C
|
| |
| Andrea Caponnetto |
University of Genova |
Random Regression Graphs |
November 18, 2005 |
2:00pm
|
TTI-C
|
| |
| Jinbo Xu |
Show and Tell Series - Lunch |
A Parameterized Algorithm for Protein Structure Alignment |
November 15, 2005 |
12:15pm
|
TTI-C
|
| |
| Jaikumar Radhakrishnan |
Show and Tell Series - Lunch |
Privacy Versus Communication in Quantum Communication Protocols |
November 8, 2005 |
12:15pm
|
TTI-C
|
| |
| Luis vonAhn |
Carnegie Mellon University |
Covert Two-Party Computation |
November 7, 2005 |
1:00pm
|
TTI-C
|
| |
| Rich Caruana |
Cornell University |
Which Supervised Learning Method is Best For What?... |
November 4, 2005 |
1:30pm
|
TTI-C
|
| |
| Joel Friedman |
Department of Mathematics at the University of British Columbia. |
Cohomology in Grothendieck Topologies and Lower Bounds in Boolean Complexity |
November 3, 2005 |
12:30pm
|
TTI-C
|
| |
| Prahladh Harsha |
Show and Tell Series - Lunch |
Short PCPs Verifiable in Polylogarithmic Time |
November 1, 2005 |
12:15pm
|
TTI-C
|
| |
| Takao Suzuki |
Toyota Technological Institute Nagoya Japan |
TTI-Japan |
October 27, 2005 |
10:00am
|
TTIC
|
| |
| Sham Kakade |
Show and Tell Series - Lunch |
Worst Case Bounds for (Parametric and Non-Parametric) Bayesian Algorithms |
October 25, 2005 |
12:15pm
|
TTI-C
|
| |
| Various Speakers |
TTI-C |
FEniCS'05 |
October 20, 2005 |
|
University Press Building 230
|
| |
| Various Speakers |
TTI-C |
FEniCS'05 |
October 19, 2005 |
|
University Press Building 230
|
| |
| Derek Dreyer |
Show and Tell Series - Lunch |
Self-Conscious Modules |
October 18, 2005 |
12:15pm
|
TTI-C
|
| |
| Ran Raz |
Weizmann Institute |
Quantum Information and the PCP Theorem |
October 17, 2005 |
3:00pm
|
TTI-C
|
| |
| Jaikumar Radhakrishnan |
Theory Reading Group |
Hardness of Approximating SETCOVER |
October 12, 2005 |
1:00pm
|
TTI-C
|
| |
| Matthias Blume |
Show and Tell Series - Lunch |
Record Polymorphism and Functional Record Extension |
October 11, 2005 |
12:15pm
|
TTI-C
|
| |
| Prahladh Harsha |
Theory Reading Group |
(7/8+\eps)-hardness of MAX3SAT |
October 5, 2005 |
1:00 pm
|
TTI-C
|
| |
| Prahladh Harsha |
Theory Reading Group |
PCPs and Inapproximability-An overview |
September 28, 2005 |
1:00
|
TTI-C
|
| |
| Adam Kalai |
Show and Tell Series - Lunch |
Towards Learning as Well as the Best Halfspace |
September 20, 2005 |
12:15pm
|
TTI-C
|
| |
| Frederich Hecht |
Laboratoire Jacques-Louis Lions-Université Pierre et Marie Curie |
TBA |
September 9, 2005 |
2:00pm
|
TTI-C
|
| |
| Tony Chan |
University of California, Los Angeles |
Image and Wavelet Inpainting |
September 9, 2005 |
12:15pm
|
TTI-C Conference Room
|
| |
| Eli Ben-Sasson |
TTI-C Show and Tell Series - Lunch |
Bounds for Combinatorial List Decoding of Reed-Solomon Codes |
September 6, 2005 |
12:15pm
|
TTI-C
|
| |
| Luis Rademacher |
MIT/Show and Tell |
Matrix Approximation and Projective Clustering via Volume Sampling. |
August 30, 2005 |
2:00pm
|
TTI-C
|
| |
| Nina Balcan |
Carnegie Mellon University/Show and Tell-Lunch |
An Augmented PAC Model for Semi-Supervised Learning |
August 30, 2005 |
12:15pm
|
TTI-C
|
| |
| Kanat Tangwongsan |
Carnegie Mellon University/Show and Tell |
TBA |
August 23, 2005 |
2:00pm
|
TTI-C
|
| |
| Jorges Vittes |
Stanford University/Show and Tell-Lunch |
TBA |
August 23, 2005 |
12:15pm
|
TTI-C
|
| |
| Alex Smola |
MICTA |
Transduction via Moment Constraints |
August 15, 2005 |
1:00pm
|
TTI-C
|
| |
| Masatake Higashi |
Toyota Technological Institute-Nagoya Japan |
Collaborative Feature Modeling by Managing Exclusive Use of Faces |
July 28, 2005 |
9:30am
|
TTI-C
|
| |
| Katsushi Furutani |
Toyota Technological Institute Nagoya Japan |
Applications of piezoelectric actuators to precision positioning |
July 28, 2005 |
10:15am
|
TTI-C
|
| |
| Joao P. Barreto |
University of Pennsylvania-GRASP Laboratory |
The Fundamental Matrix for Cameras with Radial Distortion |
June 28, 2005 |
12:00pm
|
TTI-C
|
| |
| Nisheeth Vishnoi |
IBM, New Delhi |
The Unique Games Conjecture, Integrality Gap for Cut Problems... |
June 20, 2005 |
3:00pm
|
TTI-C
|
| |
| Shimon Whiteson |
University of Texas at Austin - Lunch |
Evolutionary Function Approximation for Reinforcement Learning |
June 17, 2005 |
12:00pm
|
TTI-C
|
| |
| Manfred Warmuth |
University of California-Santa Cruz - Lunch
|
Leaving the Span |
June 14, 2005 |
12:00pm
|
TTI-C
|
| |
| Tony Jebara |
Columbia University Computer Science |
Tree Dependent Identically Distributed Learning |
June 6, 2005 |
12:00pm
|
TTI-C
|
| |
| Adam Kalai |
TTI-C Show and Tell Series-Lunch |
From Batch to Online Learning |
May 31, 2005 |
12:15pm
|
TTI-C
|
| |
| Tin Kam Ho |
Bell Labs/Lucent Technologies-Machine Learning Summer School-Applied Session |
Interactive Pattern Discovery with Mirage |
May 27, 2005 |
1:00pm
|
TTI-C
|
| |
| John Goldsmith |
University of Chicago-Machine Learning Summer School-Applied Session |
Unsupervised Learning of Natural Language Morphology |
May 26, 2005 |
3:15pm
|
TTI-C
|
| |
| Cynthia Rudin |
Courant Institute/NYU-Learning Theory Program/ML Summer School |
The Dynamics of AdaBoost |
May 26, 2005 |
2:00pm
|
International House-Assembly Hall
|
| |
| Gaelle Loosli |
PSI Rouen-Machine Learning Summer School Demo Session |
The SimpleSVM Toolbox |
May 26, 2005 |
1:00-2:00pm
|
TTI-C Conference Room
|
| |
| Ed Stabler |
UCLA-Learning Theory Program/ML Summer School |
Feasible Language Learning |
May 25, 2005 |
4:30pm
|
International House-Assembly Hall
|
| |
| Garrett Mitchener |
Duke University-Learning Theory Program/ML Summer School |
Game Dynamics with Learning and Evolution of Universal Grammar |
May 25, 2005 |
3:00pm
|
International House-Assembly Hall
|
| |
| Peter Culicover |
Ohio State University-Learning Theory Program/ML Summer School |
Adventures with Camile, a Computational Simulation of a Minimilist Language Learner |
May 25, 2005 |
2:00pm
|
International House-Assembly Hall
|
| |
| Gina Levow |
University of Chicago-Machine Learning Summer School Tutorial |
Information Retrieval Tutorial |
May 25, 2005 |
2:00-5:00pm
|
TTI-C Conference Room
|
| |
| Antonio Galves |
University of Sao Paolo-Learning Theory Program/ML Summer School |
Fingerprints of Rhthm in Natural Language |
May 24, 2005 |
3:10pm
|
International House-Assembly Hall
|
| |
| Fei Sha |
University of PA-Machine Learning Summer School-Lecture |
Efficient Parameter Estimation for Large-Scale? Conditional Random Fields: An Example of Shallow Pa |
May 24, 2005 |
2:00pm
|
TTI-C
|
| |
| Mark Liberman |
University of Pennsylvania-Learning Theory Program/ML Summer School |
Categorical Perception + Linear Learning = Shared Culture |
May 24, 2005 |
2:00pm
|
International House-Assembly Hall
|
| |
| Derek Dreyer |
TTI-C Show and Tell Series-Lunch |
Recursive Abstract Types |
May 24, 2005 |
12:15pm
|
TTI-C
|
| |
| Brian Skyrms |
UC Irvine-Learning Theory Program/ML Summer School |
Learning to Signal |
May 23, 2005 |
3:10pm
|
International House-Assembly Hall
|
| |
| Felipe Cucker |
City University Hong Kong-Learning Theory Program/ML Summer School |
Modeling Language Evolution |
May 23, 2005 |
2:00pm
|
International House-Assembly Hall
|
| |
| Gina Levow |
Machine Learning Summer School-Tutorial |
Information Retrival |
May 20, 2005 |
2:00pm
|
TTI-C
|
| |
| Petra Phillips |
Australia National University-Learning Theory Program/ML Summer School |
Data-Dependent Local Complexities for ERM |
May 19, 2005 |
4:30pm
|
International House-Assembly Hall
|
| |
| Andrea Caponnetto |
University of Genoa-Learning Theory Program/ML Summer School |
Optimal Rates for Regularized Least-Squares Algirithm in Semi-Supervised Regression |
May 19, 2005 |
3:00pm
|
International House-Assembly Hall
|
| |
| Mauro Maggioni |
Yale University-Learning Theory Program/ML Summer School |
TBA |
May 19, 2005 |
2:00pm
|
International House-Assembly Hall
|
| |
| Cristian Sminchisescu |
Machine Learning Summer School-Applied Lecture |
Human Analysis in Video |
May 19, 2005 |
2:00
|
TTI-C
|
| |
| Vladimir Temlyakov |
University of South Carolina-Learning Theory Program/ML Summer School |
On Optimal Estimators in Learning Theory |
May 18, 2005 |
4:30pm
|
International House-Assembly Hall
|
| |
| Sayan Mukherjee |
Duke University-Learning Theory Program/ML Summer School |
Learning Patterns in Genomic Data: an Application of Statistical Learning |
May 18, 2005 |
3:00pm
|
International House-Assembly Hall
|
| |
| Boaz Nadler |
Yale University-Learning Theory Program/ML Summer School |
Diffusion Maps, Spectral Clustering and Reaction Coordinates of Dynamical Systems |
May 18, 2005 |
2:00pm
|
International House-Assembly Hall
|
| |
| Dinoj Surendan |
Machine Learning Summer School-Fun Session |
Ndaona, Visualizing Algorithm Results |
May 17, 2005 |
2:00
|
TTI-C
|
| |
| Dinoj Surendan |
Machine Learning Summer School-Fun Session |
3D Demo |
May 17, 2005 |
12:30
|
TTI-C
|
| |
| Ding-Xuan Zhou |
City University of Hong Kong-Learning Theory Program/ML Summer School |
Learning Variable Covariances via Gradients |
May 16, 2005 |
4:30pm
|
International House-Assembly Hall
|
| |
| Dinoj Surendan |
Machine Learning Summer School-Tutorial |
SVM Tutorial |
May 16, 2005 |
3:15
|
TTI-C
|
| |
| Ingo Steinwart |
Learning Theory Program/Machine Learning Summer School |
Some Aspects of Learning Rates for SVMs |
May 16, 2005 |
3:00pm
|
International House-Assembly Hall
|
| |
| Peter Bickel |
UC Berkeley-Learning Theory Program/Machine Learning Summer School |
On the borders of Statistics and Computer Science |
May 16, 2005 |
2:00pm
|
International House-Assembly Hall
|
| |
| Eli Ben-Sasson |
Show and Tell Series-Lunch |
On FFTs and PCPPs (for Reed-Solomon codes) |
May 10, 2005 |
12:15pm
|
TTI-C
|
| |
| Gerard Kerkyacharian |
University of Paris-Learning Theory Program |
How to Measure the Performance of Learning Algorithms |
May 5, 2005 |
3:00pm
|
TTI-C
|
| |
| Harald Raecke |
Carnegie Mellon University |
Hierarchical Graph Decompositions for Minimizing Congestion in Distributed Systems |
May 5, 2005 |
10:00am
|
TTI-C
|
| |
| Dominique Picard |
University of Paris-Learning Theory Program |
Learning Theory - Regression and Atomic Decompositions |
May 3, 2005 |
3:00pm
|
TTI-C
|
| |
| Minh Ha Quang |
TTI-C Show and Tell Series-Lunch |
Learning with Polynomial and Gaussian Spaces |
May 3, 2005 |
12:15pm
|
TTI-C
|
| |
| Nina Mishra |
Stanford University |
Privacy-Preserving Auditing Algorithms |
April 29, 2005 |
3:00pm
|
TTI-C
|
| |
| Ernesto DeVito |
University of Modena-Learning Theory Program |
Reproducing Kernel Hilbert Spaces of Square Integrable Functions. |
April 28, 2005 |
3:00pm
|
TTI-C
|
| |
| Matti Kaariainen |
University of Helsinki |
On Semi-Supervised Bounds |
April 28, 2005 |
11:00am
|
TTI-C
|
| |
| Vladimir Temlyakov |
University of South Carolina-Learning Theory Program |
Approximation in Learning Theory |
April 27, 2005 |
3:00pm
|
TTI-C
|
| |
| Anders Logg |
TTI-C Show and Tell Series-Lunch |
Benchmark results for the FEniCS form compiler |
April 26, 2005 |
12:15pm
|
TTI-C
|
| |
| Jackie Shen |
PACIM, University of Minnesota |
Variational/PDE Methods in Image and Vision Analysis |
April 21, 2005 |
3:00pm
|
TTI-C
|
| |
| Claes Johnson |
Finite Element Center-Chalmers University of Technology |
Irreversibility in Reversible Systems |
April 21, 2005 |
10:00am
|
TTI-C
|
| |
| Johan Jansson |
Chalmers University of Technology |
Solving an Elasto-Plastic Model Using DOLFIN |
April 19, 2005 |
3:00pm
|
TTI-C
|
| |
| David McAllester |
TTI-C-Show and Tell Series-Lunch |
A* beats Dynamic Programming |
April 19, 2005 |
12:15pm
|
TTI-C
|
| |
| Jerry Zhu |
Carnegie Mellon University |
Semi-Supervised Learning with Graphs |
April 18, 2005 |
3:00pm
|
TTI-C
|
| |
| Sam Roweis |
Department of Computer Science, U.Toronto (currently on leave at MIT CSAIL) |
Neighbourhood Components Analysis |
April 18, 2005 |
10:00am
|
TTI-C
|
| |
| Eitan Sharon |
Weizmann Institute of Science, Rehovot, Israel |
Multiscale Image Segmentation and Shape Analysis |
April 14, 2005 |
3:00pm
|
TTI-C
|
| |
| Ding-Xuan Zhou |
City University of Hong Kong-Learning Theory Program |
Analysis of Learning Algorithms: Regression and Classification |
April 13, 2005 |
3:00pm
|
TTI-C
|
| |
| Grace Wahba |
University of Wisconsin-Madison-Learning Theory Program |
Classification, Penalized Likelihood; and the Support Vector Machine |
April 12, 2005 |
2:30pm
|
TTI-C
|
| |
| Yasemin Altun |
TTI-C Show and Tell Series-Lunch |
Semi-Supervised Structured Learning |
April 12, 2005 |
12:15pm
|
TTI-C
|
| |
| Yi Chen |
University of Pennsylvania |
Managing XML Data Effectively in Relational Databases |
April 11, 2005 |
3:00pm
|
TTI-C
|
| |
| Alexander Rakhlin |
MIT-Machine Learning Seminar |
Stability Results in Learning Theory |
April 8, 2005 |
12:15pm
|
TTI-C
|
| |
| Udi Wieder |
Weizmann Institute of Science (Rehovot, Israel) |
Dynamic and Scalable Data Structures |
April 7, 2005 |
3:00pm
|
TTI-C
|
| |
| Massi Pontil |
University College, London-Learning Theory Program |
Multi-Task Learning |
April 7, 2005 |
10:00am
|
TTI-C
|
| |
| Wolfgang Dahmen |
Aachen – Germany-Learning Theory Program |
Learning with Piecewise Polynomials |
April 6, 2005 |
3:00pm
|
TTI-C
|
| |
| Peter Binev |
University of South Carolina-Learning Theory Program |
Learning a Surface |
April 6, 2005 |
10:00am
|
TTI-C
|
| |
| Pierre Tarres |
University of Paul-Sabatier-Learning Theory Program |
Stochastic Algorithms and Learning |
April 5, 2005 |
3:00pm
|
TTI-C
|
| |
| Jinbo Xu |
Massachusetts Institute of Technology |
Fast and Accurate Protein Structure Prediction |
April 4, 2005 |
3:00pm
|
TTI-C
|
| |
| Ronald A. DeVore |
University of South Carolina-Learning Theory Program |
The Regression Problem in Supervised Learning |
April 1, 2005 |
3:00pm
|
|
| |
| Deva Ramanan |
University of California, Berkeley |
Tracking People and Recognizing Their Activities |
March 31, 2005 |
3:00pm
|
TTI-C
|
| |
| Natalia Komarova |
Rutgers University & UCI-Learning Theory Program |
Evolution and Learning of Language |
March 30, 2005 |
3:00pm
|
TTI-C
|
| |
| Fernando De la Torre |
Carnegie Mellon University |
Component Analysis for Multimodal Diaries |
March 30, 2005 |
1:30pm
|
TTI-C
|
| |
| Mikhail Belkin |
University of Chicago-Learning Theory Program |
Geometric Inference with Laplace Operator -- a New Framework for Machine Learning |
March 29, 2005 |
3:00pm
|
TTI-C
|
| |
| Jaikumar Radhakrishnan |
TTI-C Show and Tell Series |
From Graph Covering to Graph Entropy |
March 29, 2005 |
12:15pm
|
TTI-C
|
| |
| Alexander Rakhlin |
MIT-Learning Theory Program |
Risk Bounds for Mixture Density Estimation |
March 25, 2005 |
3:00pm
|
TTI-C
|
| |
| Riccardo Pucella |
Cornell University |
Reasoning about Security |
March 24, 2005 |
3:00pm
|
TTI-C
|
| |
| Varsha Dani |
Theory Group Seminar-Lunch |
Improved Regret Bounds for Bandit-style Online Linear Optimization Against an Adaptive Adversary |
March 24, 2005 |
12:15pm
|
TTI-C
|
| |
| John Langford |
TTI-C Show and Tell Series |
Reinforcement Learning as Classification |
March 22, 2005 |
12:15pm
|
TTI-C
|
| |
| Sanjoy Dasgupta |
University of California, San Diego |
Analysis of greedy active learning |
March 21, 2005 |
12:15pm
|
TTI-C
|
| |
| John Langford |
Machine Learning Seminar |
Binomial Weighting |
March 18, 2005 |
12:15pm
|
TTI-C
|
| |
| Monica Chew |
University of California, Berkeley |
Human or Not? How To Tell the Difference |
March 17, 2005 |
3:00pm
|
TTI-C
|
| |
| Andrea Caponnetto |
University of Genova-Learning Theory Program |
On the Connection Between Regularized Least-Squares Estimators and Regression Function |
March 16, 2005 |
3:00pm
|
TTI-C
|
| |
| Akram Aldroubi |
Vanderbilt University-Learning Theory Program |
Convolution, Average Sampling, and Calderon Resolution of the Identity |
March 15, 2005 |
3:00pm
|
TTI-C
|
| |
| Stephen Smale |
TTI-C Show and Tell Series-Lunch |
The Binary Classification Problem in Learning... |
March 15, 2005 |
12:15pm
|
TTI-C
|
| |
| Nandakumar Raghunathan |
Theory Group Seminar-Lunch |
Lattice Problems in NP intersect coNP |
March 10, 2005 |
12:15pm
|
TTI-C
|
| |
| Rob Johnson |
University of California, Berkeley |
Software Security Verification with Type Qualifiers |
March 10, 2005 |
10:00am
|
TTI-C
|
| |
| Lorenzo Rosasco |
University of Genoa-Learning Theory Program |
From Interpolation to Learning from Example |
March 9, 2005 |
3:00pm
|
TTI-C
|
| |
| Bruno Codenotti |
TTI-C Show and Tell Series-Lunch |
Market Equilibrium and Optimization (or, When Does The "Invisible Hand" Help Computation?) |
March 8, 2005 |
12:15pm
|
TTI-C
|
| |
| Aren Jansen |
Machine Learning Seminar |
The Manifold Structure of Vowel Sounds |
March 4, 2005 |
12:15pm
|
TTI-C
|
| |
| Mikhail Alekhnovitch |
Institute for Advanced Study School of Mathematics |
Hard Satisfiable Instances for DPLL Algorithms... |
March 3, 2005 |
3:00pm
|
TTI-C
|
| |
| Michael Kearns |
University of Pennsylvania |
Algorithmic Trading in Modern Markets |
March 3, 2005 |
12:15pm
|
TTI-C
|
| |
| Cristian Sminchisescu |
TTI-C Show and Tell Series-Lunch |
Learning to Reconstruct 3d Human Motion from Bayesian Mixtures of Experts |
March 1, 2005 |
12:15pm
|
TTI-C
|
| |
| Various Speakers |
|
Special Program in Learning Theory |
March 1, 2005 |
|
TTI-C
|
| |
| Cristian Sminchisescu |
Machine Learning Group-Lunch |
"Learning with mixtures of trees" by Meila and Jordan: |
February 25, 2005 |
12:15pm
|
TTI-C
|
| |
| Gang Tan |
Princeton University |
Structured Verification of Unstructured Machine Code |
February 24, 2005 |
3:00pm
|
TTI-C
|
| |
| Janos Simon |
Theory Group Seminar-Lunch |
Lower bounds for formula size using quantum arguments (continued) |
February 24, 2005 |
12:15pm
|
TTI-C
|
| |
| Gregory Chockler |
Computer Science and AI Lab, MIT |
Abstractions for Reliable Distributed Storage |
February 22, 2005 |
3:00pm
|
TTI-C
|
| |
| Derek Dreyer |
TTI-C Show and Tell Series-Lunch |
The Safe Recursion Problem |
February 22, 2005 |
12:15pm
|
TTI-C
|
| |
| Vladlen Koltun |
University of California, Berkeley |
Linear Programming and Arrangements |
February 18, 2005 |
3:00pm
|
TTI-C
|
| |
| John Langford |
Machine Learning Reading Group - Lunch |
Loss Functions for Discriminative Training of Energy-Based Models |
February 18, 2005 |
12:15pm
|
TTI-C
|
| |
| Janos Simon |
Theory Group Seminar - Lunch |
Lower Bounds for Formula Size Using Quantum Arguments |
February 17, 2005 |
12:15pm
|
TTI-C
|
| |
| Sham Kakade |
University of Pennsylvania |
Computation and Learning in Economic Networks |
February 16, 2005 |
3:00pm
|
TTI-C
|
| |
| Adam Kalai |
TTI-C Show and Tell Series-Lunch |
Learning probabilities, learning theory, and regressing to regression |
February 15, 2005 |
12:15pm
|
TTI-C
|
| |
| Robert D. Kleinberg |
Massachusetts Institute of Technology, CSAIL |
Adaptive Algorithms for Electronic Markets |
February 10, 2005 |
3:00pm
|
TTI-C
|
| |
| Daniel Stefankovic |
University of Chicago |
Algorithms for simple curves on surfaces |
February 9, 2005 |
3:00pm
|
TTI-C
|
| |
| Eli Ben-Sasson |
TTI-C Show and Tell Series - Lunch |
Sub-Linear Time Verification of Computations |
February 8, 2005 |
12:15pm
|
TTI-C
|
| |
| Yasemin Altun |
Machine Learning Reading Group - Lunch |
Contextual Models for Object Detection using Boosted Random Fields |
February 4, 2005 |
12:15pm
|
TTI-C
|
| |
| Eli Ben-Sasson |
Theory Group Seminar - Lunch |
A PCP Cookbook |
February 3, 2005 |
12:15pm
|
TTI-C
|
| |
| Matthias Blume |
TTI-C Show and Tell Series - Lunch |
How, as a speaker of C, an ML compiler went from "beginner" to "intermediate" |
February 1, 2005 |
12:15pm
|
TTI-C
|
| |
| Eli Ben-Sasson |
Theory Group Seminar - Lunch |
A PCP Cookbook |
January 27, 2005 |
12:15pm
|
TTI-C
|
| |
| Claes Johnson |
Chalmers Univeristy of Technology |
Computational and Mathematical Aspects of Turbulence and Chaos |
January 25, 2005 |
2:00pm
|
TTI-C
|
| |
| Ha Quang Minh |
TTI-C Show and Tell Series - Lunch |
Learning with Polynomial Spaces |
January 25, 2005 |
12:15pm
|
TTI-C
|
| |
| Robert Kirby |
University of Chicago |
Some Aspects of Automating and Optimizing the Finite Element Method |
January 24, 2005 |
2:00pm
|
TTI-C
|
| |
| Pedro Felzenzwalb |
Machine Learning Reading Group - Lunch |
Object Recognition with Pictorial Structures |
January 21, 2005 |
12:15pm
|
TTI-C
|
| |
| John Hale |
Michigan State University |
Probabilistic Parsing, Computational Work and Human Sentence Processing |
January 20, 2005 |
2:00pm
|
TTI-C
|
| |
| Umut Acar |
TTI-C Show and Tell Series - Lunch |
Self-Adjusting Computation |
January 18, 2005 |
12:15pm
|
TTI-C
|
| |
| John Langford |
TTI-C Show and Tell Series - Lunch |
Probabilistic Error Correcting Output Codes |
January 5, 2005 |
2:00pm
|
TTI-C
|
| |
| David McAllester |
TTI-C Show and Tell Series - Lunch |
Generalization Bounds for Structured Labels |
January 4, 2005 |
12:15pm
|
TTI-C
|
| |
| Seiichi Mita |
TTI-C Show and Tell Series |
TBA |
November 3, 2004 |
12:15pm
|
TTI-C
|
| |
| |
Trial |
|
November 7, 2009 |
|
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| |
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November 7, 2009 |
|
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November 7, 2009 |
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