我就研究緊活點解人既decision唔係optimized

:^(

:^(

:^(

heuristics

:^(

:^(

:^(

:^(

我之前都做unconscious mental process

:^(

基本上人腦唔是為左optimization而運作

:^(

但係從evolution角度黎講 如果人腦唔係optimize緊咁點樣生存到而家
定係好似tirole/benabou嗰個套咁 一啲suboptimal既behavior反而達致optimal outcome

同意，但同一時間好多optimized 左既responses 會因為社會變左而變得係某d 情況下唔adaptive

巴打有計傾

:^(

:^(

有兩種可能
1.constrainted maximization
2. 個environment轉左 mechanism轉唔切

Me research大概圍繞住第一點做

:^(

:^(

optimisation

:^(

:^(

我未take，留名學野先

:^(

:^(

:^(

:^(

:^(

我就研究緊活點解人既decision唔係optimized

:^(

:^(

:^(

heuristics

:^(

:^(

:^(

:^(

我之前都做unconscious mental process

:^(

基本上人腦唔是為左optimization而運作

:^(

但係從evolution角度黎講 如果人腦唔係optimize緊咁點樣生存到而家
定係好似tirole/benabou嗰個套咁 一啲suboptimal既behavior反而達致optimal outcome

同意，但同一時間好多optimized 左既responses 會因為社會變左而變得係某d 情況下唔adaptive

巴打有計傾

:^(

:^(

有兩種可能
1.constrainted maximization
2. 個environment轉左 mechanism轉唔切

Me research大概圍繞住第一點做

:^(

:^(

個post推慢左

:^(

讀緊game theory,入面有好多simplex optimization,用手計計到頭暈

:^(

Agger 好煩

:^(

nash bargaining solution

Dynamic programming 已經好好做。
Behavioral econ 有啲咩multi-selves agent, dynamically inconsistent agent, 連dynamic programming 都唔apply，煩到嘔泡。
Nash bargaining 亦都係最簡單，有幾多relationship中的surplus只係按bargaining power分。

本人表示深受其害

X2

:^(

好奇下econ係咪好straight要搵global optimal pt

因為ml好多都係搵local就算

yes, global and unique。

咁都幾係 而家好多ml都係minimize某個functional就算

:^(

因為ML好多係non-convex optimization

:^(

但係econ應該都唔多convex?

但上面話Econ搵global and unique optimal point喎
唔strictly convex唔會有global and unique架喎

:^(

個post推慢左

:^(

放左advisor飛機 要補鑊做野

:^(

個post推慢左

:^(

放左advisor飛機 要補鑊做野

:^(

:^(

:^(

:^(

前日有個ug放左我飛機, 我屌到佢柒左

:^(

:^(

:^(

個post推慢左

:^(

放左advisor飛機 要補鑊做野

:^(

:^(

:^(

:^(

前日有個ug放左我飛機, 我屌到佢柒左

:^(

:^(

:^(

我趕唔切火車

:^(

下個星期再見佢 唔知會唔會被屌

個post推慢左

:^(

放左advisor飛機 要補鑊做野

:^(

:^(

:^(

:^(

前日有個ug放左我飛機, 我屌到佢柒左

:^(

:^(

:^(

Optimization 其實學乜野

:^(

點optimize某objective subject to 唔同constraint (equality or inequality)
幾時有solution, 點計呀etc
深啲既有dynamic optimization, decision making over time etc.

like high school finding local maximum pt/minimum pt

Dynamic programming

:^(

:^(

:^(

讀緊game theory,入面有好多simplex optimization,用手計計到頭暈

:^(

Agger 好煩

:^(

nash bargaining solution

Dynamic programming 已經好好做。
Behavioral econ 有啲咩multi-selves agent, dynamically inconsistent agent, 連dynamic programming 都唔apply，煩到嘔泡。
Nash bargaining 亦都係最簡單，有幾多relationship中的surplus只係按bargaining power分。

好在我唔係modeling個邊

:^(

optimization其實係好正既topic 我做緊machine learning research
Machine learning入面好多algorithm 都係solve optimization problems
當中會用到好多real analysis同functional analysis既techniques
最正個位係可以自己諗某啲algorithms去solve某一類optimization problems然後paper

:^(

讀緊game theory,入面有好多simplex optimization,用手計計到頭暈

:^(

Agger 好煩

:^(

nash bargaining solution

Dynamic programming 已經好好做。
Behavioral econ 有啲咩multi-selves agent, dynamically inconsistent agent, 連dynamic programming 都唔apply，煩到嘔泡。
Nash bargaining 亦都係最簡單，有幾多relationship中的surplus只係按bargaining power分。

本人表示深受其害

X2

:^(

好奇下econ係咪好straight要搵global optimal pt

因為ml好多都係搵local就算

yes, global and unique。

咁都幾係 而家好多ml都係minimize某個functional就算

:^(

因為ML好多係non-convex optimization

:^(

但係econ應該都唔多convex?

但上面話Econ搵global and unique optimal point喎
唔strictly convex唔會有global and unique架喎

:^(

基本上係convex
Randomized choice係其中可以make sure constraint set係convex set一個手段

Optimization 其實學乜野

:^(

點optimize某objective subject to 唔同constraint (equality or inequality)
幾時有solution, 點計呀etc
深啲既有dynamic optimization, decision making over time etc.

like high school finding local maximum pt/minimum pt

Dynamic programming

:^(

:^(

:^(

讀緊game theory,入面有好多simplex optimization,用手計計到頭暈

:^(

Agger 好煩

:^(

nash bargaining solution

Dynamic programming 已經好好做。
Behavioral econ 有啲咩multi-selves agent, dynamically inconsistent agent, 連dynamic programming 都唔apply，煩到嘔泡。
Nash bargaining 亦都係最簡單，有幾多relationship中的surplus只係按bargaining power分。

好在我唔係modeling個邊

:^(

optimization其實係好正既topic 我做緊machine learning research
Machine learning入面好多algorithm 都係solve optimization problems
當中會用到好多real analysis同functional analysis既techniques
最正個位係可以自己諗某啲algorithms去solve某一類optimization problems然後paper

:^(

functional 同 real analysis 都好正

:^(

個post推慢左

:^(

放左advisor飛機 要補鑊做野

:^(

:^(

:^(

:^(

前日有個ug放左我飛機, 我屌到佢柒左

:^(

:^(

:^(

我趕唔切火車

:^(

下個星期再見佢 唔知會唔會被屌

個post推慢左

:^(

放左advisor飛機 要補鑊做野

:^(

:^(

:^(

:^(

前日有個ug放左我飛機, 我屌到佢柒左

:^(

:^(

:^(

我趕唔切火車

:^(

下個星期再見佢 唔知會唔會被屌

俾我係advisor都屌你

:^(

:^(

個post推慢左

:^(

放左advisor飛機 要補鑊做野

:^(

:^(

:^(

:^(

前日有個ug放左我飛機, 我屌到佢柒左

:^(

:^(

:^(

我趕唔切火車

:^(

下個星期再見佢 唔知會唔會被屌

俾我係advisor都屌你

:^(

:^(

做人公平d好 我都俾唔少prof放過飛機

:^(

放左advisor飛機 要補鑊做野

:^(

:^(

:^(

:^(

前日有個ug放左我飛機, 我屌到佢柒左

:^(

:^(

:^(

我趕唔切火車

:^(

下個星期再見佢 唔知會唔會被屌

俾我係advisor都屌你

:^(

:^(

做人公平d好 我都俾唔少prof放過飛機

:^(

我個prof覆email好慢,成日約唔到時間

:^(

Optimization 其實學乜野

:^(

點optimize某objective subject to 唔同constraint (equality or inequality)
幾時有solution, 點計呀etc
深啲既有dynamic optimization, decision making over time etc.

like high school finding local maximum pt/minimum pt

Dynamic programming

:^(

:^(

:^(

讀緊game theory,入面有好多simplex optimization,用手計計到頭暈

:^(

Agger 好煩

:^(

nash bargaining solution

Dynamic programming 已經好好做。
Behavioral econ 有啲咩multi-selves agent, dynamically inconsistent agent, 連dynamic programming 都唔apply，煩到嘔泡。
Nash bargaining 亦都係最簡單，有幾多relationship中的surplus只係按bargaining power分。

好在我唔係modeling個邊

:^(

optimization其實係好正既topic 我做緊machine learning research
Machine learning入面好多algorithm 都係solve optimization problems
當中會用到好多real analysis同functional analysis既techniques
最正個位係可以自己諗某啲algorithms去solve某一類optimization problems然後paper

:^(

functional 同 real analysis 都好正

:^(

巴打講多啲

:^(

QM有好多banach space,想知多啲functional analysis做啲咩

:^(

Optimization 其實學乜野

:^(

點optimize某objective subject to 唔同constraint (equality or inequality)
幾時有solution, 點計呀etc
深啲既有dynamic optimization, decision making over time etc.

like high school finding local maximum pt/minimum pt

Dynamic programming

:^(

:^(

:^(

讀緊game theory,入面有好多simplex optimization,用手計計到頭暈

:^(

Agger 好煩

:^(

nash bargaining solution

Dynamic programming 已經好好做。
Behavioral econ 有啲咩multi-selves agent, dynamically inconsistent agent, 連dynamic programming 都唔apply，煩到嘔泡。
Nash bargaining 亦都係最簡單，有幾多relationship中的surplus只係按bargaining power分。

好在我唔係modeling個邊

:^(

optimization其實係好正既topic 我做緊machine learning research
Machine learning入面好多algorithm 都係solve optimization problems
當中會用到好多real analysis同functional analysis既techniques
最正個位係可以自己諗某啲algorithms去solve某一類optimization problems然後paper

:^(

functional 同 real analysis 都好正

:^(

所以其實app math都有正既地方 而且冇咁離地

:^(

Agger 好煩

:^(

nash bargaining solution

Dynamic programming 已經好好做。
Behavioral econ 有啲咩multi-selves agent, dynamically inconsistent agent, 連dynamic programming 都唔apply，煩到嘔泡。
Nash bargaining 亦都係最簡單，有幾多relationship中的surplus只係按bargaining power分。

好在我唔係modeling個邊

:^(

optimization其實係好正既topic 我做緊machine learning research
Machine learning入面好多algorithm 都係solve optimization problems
當中會用到好多real analysis同functional analysis既techniques
最正個位係可以自己諗某啲algorithms去solve某一類optimization problems然後paper

:^(

functional 同 real analysis 都好正

:^(

巴打講多啲

:^(

QM有好多banach space,想知多啲functional analysis做啲咩

:^(

我d FA已經唔記得七七八八

:^(

, 我更加唔識物理
某D Linear PDE可以用functional analysis的方法去deduce d property
e.g. compact operators
又可以用黎construct measures, e.g. Haar measure
同埋functional analysis本身會deal with d Banach / Hilbert spaces, 但係數學本身都會遇到呢D spaces, e.g. space of continuous functions, L^p spaces等等
probability都會見到, e.g. weak convergence
所以functional analysis算係analysis的基礎野

:^(

又要準備溫書考qualifying

:^(

:^(

:^(